Find Your Dream Trainer Job in India

Job Title: Data Science Trainer

Organization: SkillCircle

Location: Pitampura

Employment Type: Full-time

Job Summary:

SkillCircle is looking for a passionate and knowledgeable Data Science Trainer to

mentor and guide students through their journey into the world of data science.

The ideal candidate should have a strong foundation in Python, machine learning,

data analytics, and the ability to simplify complex concepts for learners at various

levels.

Required Skills:

Proficiency in Python, Pandas, NumPy, Scikit-learn, Matplotlib/Seaborn,

Tableau and Power BI.

Knowledge of Machine Learning algorithms and their real-world

applications.

Understanding of statistics, data preprocessing, and EDA.

Excellent communication and presentation skills.

Ability to engage and inspire students from non-technical backgrounds.

Eligibility Criteria:

Bachelor's degree in Computer Science, Data Science, Engineering, or a

related field.

2-5 years of experience in teaching/training or industry experience in data

science roles.

Prior experience as a trainer or mentor is a plus.

Certifications in Data Science or Machine Learning (preferred but not

mandatory).

Perks and Benefits:

Flexible working hours

Exposure to a large network of learners and tech professionals.

Opportunity to work on live projects and build personal brand through

content/webinars.

Job Description

Data Science Trainer

Job Title: Data Science Trainer

Organization: SkillCircle

Location: Gurgaon

Employment Type: Full-time

Job Summary:

SkillCircle is looking for a passionate and knowledgeable Data Science Trainer to

mentor and guide students through their journey into the world of data science.

The ideal candidate should have a strong foundation in Python, machine learning,

data analytics, and the ability to simplify complex concepts for learners at various

levels.

Required Skills:

Proficiency in Python, Pandas, NumPy, Scikit-learn, and Matplotlib/Seaborn.

Knowledge of Machine Learning algorithms and their real-world

applications.

Understanding of statistics, data preprocessing, and EDA.

Excellent communication and presentation skills.

Ability to engage and inspire studentsfrom non-technical backgrounds.

Eligibility Criteria:

Bachelor's degree in Computer Science, Data Science, Engineering, or a

related field.

2-5 years of experience in teaching/training or industry experience in data

science roles.

Prior experience as a trainer or mentor is a plus.

Certifications in Data Science or Machine Learning (preferred but not

mandatory).

Perks and Benefits:

Competitive salary + Incentives

Flexible working hours

Exposure to a large network of learners and tech professionals.

Opportunity to work on live projects and build personal brand through

content/webinars.

Job Title: Data Science Trainer

Organization: SkillCircle

Location: Noida

Employment Type: Full-time

Job Summary:

SkillCircle is looking for a passionate and knowledgeable Data Science Trainer to

mentor and guide students through their journey into the world of data science.

The ideal candidate should have a strong foundation in Python, machine learning,

data analytics, and the ability to simplify complex concepts for learners at various

levels.

Required Skills:

Proficiency in Python, Pandas, NumPy, Scikit-learn, Matplotlib/Seaborn,

Tableau and Power BI.

Knowledge of Machine Learning algorithms and their real-world

applications.

Understanding of statistics, data preprocessing, and EDA.

Excellent communication and presentation skills.

Ability to engage and inspire students from non-technical backgrounds.

Eligibility Criteria:

Bachelor's degree in Computer Science, Data Science, Engineering, or a

related field.

2-5 years of experience in teaching/training or industry experience in data

science roles.

Prior experience as a trainer or mentor is a plus.

Certifications in Data Science or Machine Learning (preferred but not

mandatory).

Perks and Benefits:

Flexible working hours

Exposure to a large network of learners and tech professionals.

Opportunity to work on live projects and build personal brand through

content/webinars.

Job Title: Data Analytics/Data Science Trainer

Organization: SkillCircle

Location: Kolkata

Employment Type: Fulltime/Part time/Freelancer

Job Summary:

SkillCircle is looking for a passionate and knowledgeable Data Analytics/Data Science Trainer to mentor and guide students through their journey into the world of data science. The ideal candidate should have a strong foundation in Python, machine learning, data analytics, and the ability to simplify complex concepts for learners at various levels.

Required Skills:

• Proficiency in Python, Pandas, NumPy, Scikit-learn, Matplotlib/Seaborn,
• Tableau and Power BI.
• Knowledge of Machine Learning algorithms and their real-world
• applications.
• Understanding of statistics, data preprocessing, and EDA.
• Excellent communication and presentation skills.
• Ability to engage and inspire students from non-technical backgrounds.

Eligibility Criteria:

• Bachelor's degree in Computer Science, Data Science, Engineering, or a
• related field.
• 2-5 years of experience in teaching/training or industry experience in data
• science roles.
• Prior experience as a trainer or mentor is a plus.
• Certifications in Data Science or Machine Learning (preferred but not mandatory).

Perks and Benefits:

• Flexible working hours
• Exposure to a large network of learners and tech professionals.
• Opportunity to work on live projects and build personal brands through content/webinars.

Instructor Offline Learning

About upGrad

Founded in 2015, upGrad is Asia's largest integrated Learning, Skilling, Workforce Development, and Placement company. Its offerings include online and hybrid degrees, study abroad programs, certifications, bootcamps, and doctorates for working professionals. Through its B2B arm, upGrad also provides enterprise training, recruitment, and staffing services. With 10M+ learners across 100+ countries, 300+ global university partners, 2500+ pathway connections, and 20,000+ recruitment partners, upGrad continues to empower careers worldwide.

Learn more:

About the Role

As an Instructor at our Offline Learning Centres, you will deliver engaging sessions in Data Science, Machine Learning, Deep Learning, and related fields to students and working professionals. You will play a vital role in ensuring high-quality learning outcomes through classroom teaching, mentorship, and academic support. This is a unique opportunity to combine your passion for technology and education, while shaping the careers of tomorrow.

6 Reasons to Join upGrad Offline Learning Centres

1. Career Growth & SME Pathway: Accelerate your career with opportunities to move into leadership roles and grow as a Subject Matter Expert by contributing to content development, curriculum design and new program launches.

2. Continuous Upskilling: Access 100% free upGrad programs for yourself and a 50% discount for your family.

3. Comprehensive Health & Wellbeing: Benefit from INR 5L medical insurance for yourself and your family, plus a 24x7 mental health helpline for all-round support.

4. Attractive Incentives: Earn additional incentives for successful student referrals from your batches, giving you direct rewards for expanding the learner community.

5. Employee Referral Bonus: Receive INR 15,000 for every successful employee referral - bring great talent to upGrad and get rewarded.

6. Impact & Exposure: Opportunity to work with industry leaders, design cutting-edge content, and directly impact learner success.

Key Responsibilities

• Deliver in-person lectures and training sessions in Data Science, Machine Learning, Deep Learning and related domains.

• Guide learners through concepts, case studies, and projects to ensure strong understanding and application.

• Collaborate with Centre Managers and academic teams to monitor learner progress and outcomes.

• Support students with doubt-solving, mentorship, and building career-ready skills.

• Continuously update knowledge and content to stay current with industry trends and tools.

Skills & Experience

• Minimum 2+ years of teaching/training experience in Data Science, Machine Learning, or related fields.

• Strong programming skills in Python and understanding of SQL, Excel.

• Solid grasp of ML/DL concepts such as Regression, Decision Trees, Random Forests, Ensemble methods, Neural Networks, NLP, Recommendation Systems, etc.

• Strong communication, presentation, and mentoring skills.

• Comfortable with both classroom delivery and online teaching (camera-facing).

• Education: BE/ B.Tech (minimum); Postgraduate preferred.

Equal Opportunity

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. All employment is decided on the basis of qualifications, merit, and business need

Important Note

Candidate should be based in Ludhiana and be flexible to work in all Ludhiana locations.

6 days working.

Flexible with 9-hour shifts.

Senior IT Corporate Trainer - Cybersecurity / Data Science / Cloud / AI & ML

About the Role

We are seeking highly experienced IT professionals with a minimum of 5+ years of real-time, hands-on experience to deliver high-quality technical training across Cybersecurity, Data Science, Cloud Computing, Artificial Intelligence, and Machine Learning. The role involves training both corporate employees and campus hires in virtual and on-site formats.

Key Responsibilities

• Design, develop, and deliver technical training programs for corporate teams and campus trainees in online and classroom environments.
• Conduct training needs assessments and customize modules based on client or organizational requirements.
• Create comprehensive training materials including labs, case studies, assignments, and assessments tailored for different skill levels.
• Deliver interactive sessions, workshops, bootcamps, and train-the-trainer (TTT) programs across multiple technology domains.
• Evaluate learner performance, provide structured feedback, and measure training outcomes through assessments and progress reports.
• Continuously update course content by staying aligned with the latest tools, technologies, and industry best practices.

Required Skills & Experience

• Minimum 5+ years of hands-on experience in at least one major domain:
• Cybersecurity, Data Science, Cloud Computing (AWS/Azure/GCP), Artificial Intelligence, or Machine Learning.
• Prior experience as a Corporate Trainer, Technical Trainer, Lead Engineer, or Mentor is highly desirable.
• Strong practical expertise in relevant tools/technologies such as Python/R, SQL, cloud platforms, security tools, and ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).
• Excellent communication, presentation, facilitation, and classroom management skills.
• Ability to simplify and explain complex technical concepts to diverse audiences-from fresh graduates to experienced professionals.

Education

• Bachelor's or Master's degree in Computer Science, Information Technology, Electronics, or a related discipline.

We are seeking a highly skilled and passionate faculty member who can train students in Python programming, Data Science, Data Analytics and AI Automation. The ideal candidate should have both academic teaching experience and industry exposure to effectively bridge the gap between theory and practical application.

Key Responsibilities

Deliver engaging and structured sessions on: Python programming (from basics to advanced), Data Science(AI &ML;), Data Analytics using libraries/tools (Pandas, NumPy, Matplotlib, Power BI/Tableau) AI Automation and applications (automation frameworks, Chatbots, AI APIs)

Design course materials, lesson plans, and practical projects aligned with industry requirements.

Guide students through real-world case studies, capstone projects, and automation workflows.

Stay updated on emerging technologies and incorporate latest trends and tools into training.

Assess student performance and provide feedback for skill improvement. Collaborate with the academic team to develop certification programs and curriculum updates.

Participate in seminars, workshops, and webinars to promote the courses.

Required Skills & Competencies Technical Skills:

Strong command over Python and its data libraries (NumPy, Pandas, Matplotlib, Seaborn, scikit-learn, TensorFlow, or PyTorch).

Strong teaching knowledge in Machine Learning, Deep learning NLP and Generative AI

Experience in Data Analytics tools: Power BI, Tableau, Excel Analytics.

Familiarity with AI automation frameworks like RPA tools (UiPath, Automation Anywhere) or Python-based automation (Selenium, OpenAI API, LangChain).

Teaching Skills: Ability to simplify complex concepts and deliver hands-on, interactive sessions. Strong communication, mentorship, and presentation skills.

Language:

English (Preferred)

Qualifications:

Bachelor's/Master's in Computer Science, Data Science, AI, or related field.

Skilled certifications (Python, Data Analytics, AI, RPA) preferred.

2+ years of relevant teaching or corporate training experience.

Job Type: Full-time

Benefits:

- Provident Fund

We are seeking a highly skilled and passionate faculty member who can train students in Python programming, Data Science, Data Analytics and AI Automation. The ideal candidate should have both academic teaching experience and industry exposure to effectively bridge the gap between theory and practical application.

Key Responsibilities

Deliver engaging and structured sessions on: Python programming (from basics to advanced), Data Science(AI &ML;), Data Analytics using libraries/tools (Pandas, NumPy, Matplotlib, Power BI/Tableau) AI Automation and applications (automation frameworks, Chatbots, AI APIs)

Design course materials, lesson plans, and practical projects aligned with industry requirements.

Guide students through real-world case studies, capstone projects, and automation workflows.

Stay updated on emerging technologies and incorporate latest trends and tools into training.

Assess student performance and provide feedback for skill improvement. Collaborate with the academic team to develop certification programs and curriculum updates.

Participate in seminars, workshops, and webinars to promote the courses.

Required Skills & Competencies Technical Skills:

Strong command over Python and its data libraries (NumPy, Pandas, Matplotlib, Seaborn, scikit-learn, TensorFlow, or PyTorch).

Strong teaching knowledge in Machine Learning, Deep learning NLP and Generative AI

Experience in Data Analytics tools: Power BI, Tableau, Excel Analytics.

Familiarity with AI automation frameworks like RPA tools (UiPath, Automation Anywhere) or Python-based automation (Selenium, OpenAI API, LangChain).

Teaching Skills: Ability to simplify complex concepts and deliver hands-on, interactive sessions. Strong communication, mentorship, and presentation skills.

Language:

English (Preferred)

Qualifications:

Bachelor's/Master's in Computer Science, Data Science, AI, or related field.

Skilled certifications (Python, Data Analytics, AI, RPA) preferred.

2+ years of relevant teaching or corporate training experience.

Job Type: Full-time

Benefits:

- Provident Fund

We are seeking a highly skilled and passionate faculty member who can train students in Python programming, Data Science, Data Analytics and AI Automation. The ideal candidate should have both academic teaching experience and industry exposure to effectively bridge the gap between theory and practical application.

Key Responsibilities

Deliver engaging and structured sessions on: Python programming (from basics to advanced), Data Science(AI &ML;), Data Analytics using libraries/tools (Pandas, NumPy, Matplotlib, Power BI/Tableau) AI Automation and applications (automation frameworks, Chatbots, AI APIs)

Design course materials, lesson plans, and practical projects aligned with industry requirements.

Guide students through real-world case studies, capstone projects, and automation workflows.

Stay updated on emerging technologies and incorporate latest trends and tools into training.

Assess student performance and provide feedback for skill improvement. Collaborate with the academic team to develop certification programs and curriculum updates.

Participate in seminars, workshops, and webinars to promote the courses.

Required Skills & Competencies Technical Skills:

Strong command over Python and its data libraries (NumPy, Pandas, Matplotlib, Seaborn, scikit-learn, TensorFlow, or PyTorch).

Strong teaching knowledge in Machine Learning, Deep learning NLP and Generative AI

Experience in Data Analytics tools: Power BI, Tableau, Excel Analytics.

Familiarity with AI automation frameworks like RPA tools (UiPath, Automation Anywhere) or Python-based automation (Selenium, OpenAI API, LangChain).

Teaching Skills: Ability to simplify complex concepts and deliver hands-on, interactive sessions. Strong communication, mentorship, and presentation skills.

Language:

English (Preferred)

Qualifications:

Bachelor's/Master's in Computer Science, Data Science, AI, or related field.

Skilled certifications (Python, Data Analytics, AI, RPA) preferred.

2+ years of relevant teaching or corporate training experience.

Job Type: Full-time

Benefits:

- Provident Fund

We are seeking a highly skilled and passionate faculty member who can train students in Python programming, Data Science, Data Analytics and AI Automation. The ideal candidate should have both academic teaching experience and industry exposure to effectively bridge the gap between theory and practical application.

Key Responsibilities

Deliver engaging and structured sessions on: Python programming (from basics to advanced), Data Science(AI &ML;), Data Analytics using libraries/tools (Pandas, NumPy, Matplotlib, Power BI/Tableau) AI Automation and applications (automation frameworks, Chatbots, AI APIs)

Design course materials, lesson plans, and practical projects aligned with industry requirements.

Guide students through real-world case studies, capstone projects, and automation workflows.

Stay updated on emerging technologies and incorporate latest trends and tools into training.

Assess student performance and provide feedback for skill improvement. Collaborate with the academic team to develop certification programs and curriculum updates.

Participate in seminars, workshops, and webinars to promote the courses.

Required Skills & Competencies Technical Skills:

Strong command over Python and its data libraries (NumPy, Pandas, Matplotlib, Seaborn, scikit-learn, TensorFlow, or PyTorch).

Strong teaching knowledge in Machine Learning, Deep learning NLP and Generative AI

Experience in Data Analytics tools: Power BI, Tableau, Excel Analytics.

Familiarity with AI automation frameworks like RPA tools (UiPath, Automation Anywhere) or Python-based automation (Selenium, OpenAI API, LangChain).

Teaching Skills: Ability to simplify complex concepts and deliver hands-on, interactive sessions. Strong communication, mentorship, and presentation skills.

Language:

English (Preferred)

Qualifications:

Bachelor's/Master's in Computer Science, Data Science, AI, or related field.

Skilled certifications (Python, Data Analytics, AI, RPA) preferred.

2+ years of relevant teaching or corporate training experience.

Job Type: Full-time

Benefits:

- Provident Fund

We are seeking a highly skilled and passionate faculty member who can train students in Python programming, Data Science, Data Analytics and AI Automation. The ideal candidate should have both academic teaching experience and industry exposure to effectively bridge the gap between theory and practical application.

Key Responsibilities

Deliver engaging and structured sessions on: Python programming (from basics to advanced), Data Science(AI &ML;), Data Analytics using libraries/tools (Pandas, NumPy, Matplotlib, Power BI/Tableau) AI Automation and applications (automation frameworks, Chatbots, AI APIs)

Design course materials, lesson plans, and practical projects aligned with industry requirements.

Guide students through real-world case studies, capstone projects, and automation workflows.

Stay updated on emerging technologies and incorporate latest trends and tools into training.

Assess student performance and provide feedback for skill improvement. Collaborate with the academic team to develop certification programs and curriculum updates.

Participate in seminars, workshops, and webinars to promote the courses.

Required Skills & Competencies Technical Skills:

Strong command over Python and its data libraries (NumPy, Pandas, Matplotlib, Seaborn, scikit-learn, TensorFlow, or PyTorch).

Strong teaching knowledge in Machine Learning, Deep learning NLP and Generative AI

Experience in Data Analytics tools: Power BI, Tableau, Excel Analytics.

Familiarity with AI automation frameworks like RPA tools (UiPath, Automation Anywhere) or Python-based automation (Selenium, OpenAI API, LangChain).

Teaching Skills: Ability to simplify complex concepts and deliver hands-on, interactive sessions. Strong communication, mentorship, and presentation skills.

Language:

English (Preferred)

Qualifications:

Bachelor's/Master's in Computer Science, Data Science, AI, or related field.

Skilled certifications (Python, Data Analytics, AI, RPA) preferred.

2+ years of relevant teaching or corporate training experience.

Job Type: Full-time

Benefits:

- Provident Fund

We are seeking a highly skilled and passionate faculty member who can train students in Python programming, Data Science, Data Analytics and AI Automation. The ideal candidate should have both academic teaching experience and industry exposure to effectively bridge the gap between theory and practical application.

Key Responsibilities

Deliver engaging and structured sessions on: Python programming (from basics to advanced), Data Science(AI &ML;), Data Analytics using libraries/tools (Pandas, NumPy, Matplotlib, Power BI/Tableau) AI Automation and applications (automation frameworks, Chatbots, AI APIs)

Design course materials, lesson plans, and practical projects aligned with industry requirements.

Guide students through real-world case studies, capstone projects, and automation workflows.

Stay updated on emerging technologies and incorporate latest trends and tools into training.

Assess student performance and provide feedback for skill improvement. Collaborate with the academic team to develop certification programs and curriculum updates.

Participate in seminars, workshops, and webinars to promote the courses.

Required Skills & Competencies Technical Skills:

Strong command over Python and its data libraries (NumPy, Pandas, Matplotlib, Seaborn, scikit-learn, TensorFlow, or PyTorch).

Strong teaching knowledge in Machine Learning, Deep learning NLP and Generative AI

Experience in Data Analytics tools: Power BI, Tableau, Excel Analytics.

Familiarity with AI automation frameworks like RPA tools (UiPath, Automation Anywhere) or Python-based automation (Selenium, OpenAI API, LangChain).

Teaching Skills: Ability to simplify complex concepts and deliver hands-on, interactive sessions. Strong communication, mentorship, and presentation skills.

Language:

English (Preferred)

Qualifications:

Bachelor's/Master's in Computer Science, Data Science, AI, or related field.

Skilled certifications (Python, Data Analytics, AI, RPA) preferred.

2+ years of relevant teaching or corporate training experience.

Job Type: Full-time

Benefits:

- Provident Fund

We are seeking a highly skilled and passionate faculty member who can train students in Python programming, Data Science, Data Analytics and AI Automation. The ideal candidate should have both academic teaching experience and industry exposure to effectively bridge the gap between theory and practical application.

Key Responsibilities

Deliver engaging and structured sessions on: Python programming (from basics to advanced), Data Science(AI &ML;), Data Analytics using libraries/tools (Pandas, NumPy, Matplotlib, Power BI/Tableau) AI Automation and applications (automation frameworks, Chatbots, AI APIs)

Design course materials, lesson plans, and practical projects aligned with industry requirements.

Guide students through real-world case studies, capstone projects, and automation workflows.

Stay updated on emerging technologies and incorporate latest trends and tools into training.

Assess student performance and provide feedback for skill improvement. Collaborate with the academic team to develop certification programs and curriculum updates.

Participate in seminars, workshops, and webinars to promote the courses.

Required Skills & Competencies Technical Skills:

Strong command over Python and its data libraries (NumPy, Pandas, Matplotlib, Seaborn, scikit-learn, TensorFlow, or PyTorch).

Strong teaching knowledge in Machine Learning, Deep learning NLP and Generative AI

Experience in Data Analytics tools: Power BI, Tableau, Excel Analytics.

Familiarity with AI automation frameworks like RPA tools (UiPath, Automation Anywhere) or Python-based automation (Selenium, OpenAI API, LangChain).

Teaching Skills: Ability to simplify complex concepts and deliver hands-on, interactive sessions. Strong communication, mentorship, and presentation skills.

Language:

English (Preferred)

Qualifications:

Bachelor's/Master's in Computer Science, Data Science, AI, or related field.

Skilled certifications (Python, Data Analytics, AI, RPA) preferred.

2+ years of relevant teaching or corporate training experience.

Job Type: Full-time

Benefits:

- Provident Fund

We are seeking a highly skilled and passionate faculty member who can train students in Python programming, Data Science, Data Analytics and AI Automation. The ideal candidate should have both academic teaching experience and industry exposure to effectively bridge the gap between theory and practical application.

Key Responsibilities

Deliver engaging and structured sessions on: Python programming (from basics to advanced), Data Science(AI &ML;), Data Analytics using libraries/tools (Pandas, NumPy, Matplotlib, Power BI/Tableau) AI Automation and applications (automation frameworks, Chatbots, AI APIs)

Design course materials, lesson plans, and practical projects aligned with industry requirements.

Guide students through real-world case studies, capstone projects, and automation workflows.

Stay updated on emerging technologies and incorporate latest trends and tools into training.

Assess student performance and provide feedback for skill improvement. Collaborate with the academic team to develop certification programs and curriculum updates.

Participate in seminars, workshops, and webinars to promote the courses.

Required Skills & Competencies Technical Skills:

Strong command over Python and its data libraries (NumPy, Pandas, Matplotlib, Seaborn, scikit-learn, TensorFlow, or PyTorch).

Strong teaching knowledge in Machine Learning, Deep learning NLP and Generative AI

Experience in Data Analytics tools: Power BI, Tableau, Excel Analytics.

Familiarity with AI automation frameworks like RPA tools (UiPath, Automation Anywhere) or Python-based automation (Selenium, OpenAI API, LangChain).

Teaching Skills: Ability to simplify complex concepts and deliver hands-on, interactive sessions. Strong communication, mentorship, and presentation skills.

Language:

English (Preferred)

Qualifications:

Bachelor's/Master's in Computer Science, Data Science, AI, or related field.

Skilled certifications (Python, Data Analytics, AI, RPA) preferred.

2+ years of relevant teaching or corporate training experience.

Job Type: Full-time

Benefits:

- Provident Fund

We are seeking a highly skilled and passionate faculty member who can train students in Python programming, Data Science, Data Analytics and AI Automation. The ideal candidate should have both academic teaching experience and industry exposure to effectively bridge the gap between theory and practical application.

Key Responsibilities

Deliver engaging and structured sessions on: Python programming (from basics to advanced), Data Science(AI &ML;), Data Analytics using libraries/tools (Pandas, NumPy, Matplotlib, Power BI/Tableau) AI Automation and applications (automation frameworks, Chatbots, AI APIs)

Design course materials, lesson plans, and practical projects aligned with industry requirements.

Guide students through real-world case studies, capstone projects, and automation workflows.

Stay updated on emerging technologies and incorporate latest trends and tools into training.

Assess student performance and provide feedback for skill improvement. Collaborate with the academic team to develop certification programs and curriculum updates.

Participate in seminars, workshops, and webinars to promote the courses.

Required Skills & Competencies Technical Skills:

Strong command over Python and its data libraries (NumPy, Pandas, Matplotlib, Seaborn, scikit-learn, TensorFlow, or PyTorch).

Strong teaching knowledge in Machine Learning, Deep learning NLP and Generative AI

Experience in Data Analytics tools: Power BI, Tableau, Excel Analytics.

Familiarity with AI automation frameworks like RPA tools (UiPath, Automation Anywhere) or Python-based automation (Selenium, OpenAI API, LangChain).

Teaching Skills: Ability to simplify complex concepts and deliver hands-on, interactive sessions. Strong communication, mentorship, and presentation skills.

Language:

English (Preferred)

Qualifications:

Bachelor's/Master's in Computer Science, Data Science, AI, or related field.

Skilled certifications (Python, Data Analytics, AI, RPA) preferred.

2+ years of relevant teaching or corporate training experience.

Job Type: Full-time

Benefits:

- Provident Fund

We are seeking a highly skilled and passionate faculty member who can train students in Python programming, Data Science, Data Analytics and AI Automation. The ideal candidate should have both academic teaching experience and industry exposure to effectively bridge the gap between theory and practical application.

Key Responsibilities

Deliver engaging and structured sessions on: Python programming (from basics to advanced), Data Science(AI &ML;), Data Analytics using libraries/tools (Pandas, NumPy, Matplotlib, Power BI/Tableau) AI Automation and applications (automation frameworks, Chatbots, AI APIs)

Design course materials, lesson plans, and practical projects aligned with industry requirements.

Guide students through real-world case studies, capstone projects, and automation workflows.

Stay updated on emerging technologies and incorporate latest trends and tools into training.

Assess student performance and provide feedback for skill improvement. Collaborate with the academic team to develop certification programs and curriculum updates.

Participate in seminars, workshops, and webinars to promote the courses.

Required Skills & Competencies Technical Skills:

Strong command over Python and its data libraries (NumPy, Pandas, Matplotlib, Seaborn, scikit-learn, TensorFlow, or PyTorch).

Strong teaching knowledge in Machine Learning, Deep learning NLP and Generative AI

Experience in Data Analytics tools: Power BI, Tableau, Excel Analytics.

Familiarity with AI automation frameworks like RPA tools (UiPath, Automation Anywhere) or Python-based automation (Selenium, OpenAI API, LangChain).

Teaching Skills: Ability to simplify complex concepts and deliver hands-on, interactive sessions. Strong communication, mentorship, and presentation skills.

Language:

English (Preferred)

Qualifications:

Bachelor's/Master's in Computer Science, Data Science, AI, or related field.

Skilled certifications (Python, Data Analytics, AI, RPA) preferred.

2+ years of relevant teaching or corporate training experience.

Job Type: Full-time

Benefits:

- Provident Fund

We are seeking a highly skilled and passionate faculty member who can train students in Python programming, Data Science, Data Analytics and AI Automation. The ideal candidate should have both academic teaching experience and industry exposure to effectively bridge the gap between theory and practical application.

Key Responsibilities

Deliver engaging and structured sessions on: Python programming (from basics to advanced), Data Science(AI &ML;), Data Analytics using libraries/tools (Pandas, NumPy, Matplotlib, Power BI/Tableau) AI Automation and applications (automation frameworks, Chatbots, AI APIs)

Design course materials, lesson plans, and practical projects aligned with industry requirements.

Guide students through real-world case studies, capstone projects, and automation workflows.

Stay updated on emerging technologies and incorporate latest trends and tools into training.

Assess student performance and provide feedback for skill improvement. Collaborate with the academic team to develop certification programs and curriculum updates.

Participate in seminars, workshops, and webinars to promote the courses.

Required Skills & Competencies Technical Skills:

Strong command over Python and its data libraries (NumPy, Pandas, Matplotlib, Seaborn, scikit-learn, TensorFlow, or PyTorch).

Strong teaching knowledge in Machine Learning, Deep learning NLP and Generative AI

Experience in Data Analytics tools: Power BI, Tableau, Excel Analytics.

Familiarity with AI automation frameworks like RPA tools (UiPath, Automation Anywhere) or Python-based automation (Selenium, OpenAI API, LangChain).

Teaching Skills: Ability to simplify complex concepts and deliver hands-on, interactive sessions. Strong communication, mentorship, and presentation skills.

Language:

English (Preferred)

Qualifications:

Bachelor's/Master's in Computer Science, Data Science, AI, or related field.

Skilled certifications (Python, Data Analytics, AI, RPA) preferred.

2+ years of relevant teaching or corporate training experience.

Job Type: Full-time

Benefits:

- Provident Fund

We are seeking a highly skilled and passionate faculty member who can train students in Python programming, Data Science, Data Analytics and AI Automation. The ideal candidate should have both academic teaching experience and industry exposure to effectively bridge the gap between theory and practical application.

Key Responsibilities

Deliver engaging and structured sessions on: Python programming (from basics to advanced), Data Science(AI &ML;), Data Analytics using libraries/tools (Pandas, NumPy, Matplotlib, Power BI/Tableau) AI Automation and applications (automation frameworks, Chatbots, AI APIs)

Design course materials, lesson plans, and practical projects aligned with industry requirements.

Guide students through real-world case studies, capstone projects, and automation workflows.

Stay updated on emerging technologies and incorporate latest trends and tools into training.

Assess student performance and provide feedback for skill improvement. Collaborate with the academic team to develop certification programs and curriculum updates.

Participate in seminars, workshops, and webinars to promote the courses.

Required Skills & Competencies Technical Skills:

Strong command over Python and its data libraries (NumPy, Pandas, Matplotlib, Seaborn, scikit-learn, TensorFlow, or PyTorch).

Strong teaching knowledge in Machine Learning, Deep learning NLP and Generative AI

Experience in Data Analytics tools: Power BI, Tableau, Excel Analytics.

Familiarity with AI automation frameworks like RPA tools (UiPath, Automation Anywhere) or Python-based automation (Selenium, OpenAI API, LangChain).

Teaching Skills: Ability to simplify complex concepts and deliver hands-on, interactive sessions. Strong communication, mentorship, and presentation skills.

Language:

English (Preferred)

Qualifications:

Bachelor's/Master's in Computer Science, Data Science, AI, or related field.

Skilled certifications (Python, Data Analytics, AI, RPA) preferred.

2+ years of relevant teaching or corporate training experience.

Job Type: Full-time

Benefits:

- Provident Fund

We are seeking a highly skilled and passionate faculty member who can train students in Python programming, Data Science, Data Analytics and AI Automation. The ideal candidate should have both academic teaching experience and industry exposure to effectively bridge the gap between theory and practical application.

Key Responsibilities

Deliver engaging and structured sessions on: Python programming (from basics to advanced), Data Science(AI &ML;), Data Analytics using libraries/tools (Pandas, NumPy, Matplotlib, Power BI/Tableau) AI Automation and applications (automation frameworks, Chatbots, AI APIs)

Design course materials, lesson plans, and practical projects aligned with industry requirements.

Guide students through real-world case studies, capstone projects, and automation workflows.

Stay updated on emerging technologies and incorporate latest trends and tools into training.

Assess student performance and provide feedback for skill improvement. Collaborate with the academic team to develop certification programs and curriculum updates.

Participate in seminars, workshops, and webinars to promote the courses.

Required Skills & Competencies Technical Skills:

Strong command over Python and its data libraries (NumPy, Pandas, Matplotlib, Seaborn, scikit-learn, TensorFlow, or PyTorch).

Strong teaching knowledge in Machine Learning, Deep learning NLP and Generative AI

Experience in Data Analytics tools: Power BI, Tableau, Excel Analytics.

Familiarity with AI automation frameworks like RPA tools (UiPath, Automation Anywhere) or Python-based automation (Selenium, OpenAI API, LangChain).

Teaching Skills: Ability to simplify complex concepts and deliver hands-on, interactive sessions. Strong communication, mentorship, and presentation skills.

Language:

English (Preferred)

Qualifications:

Bachelor's/Master's in Computer Science, Data Science, AI, or related field.

Skilled certifications (Python, Data Analytics, AI, RPA) preferred.

2+ years of relevant teaching or corporate training experience.

Job Type: Full-time

Benefits:

- Provident Fund

We are seeking a highly skilled and passionate faculty member who can train students in Python programming, Data Science, Data Analytics and AI Automation. The ideal candidate should have both academic teaching experience and industry exposure to effectively bridge the gap between theory and practical application.

Key Responsibilities

Deliver engaging and structured sessions on: Python programming (from basics to advanced), Data Science(AI &ML;), Data Analytics using libraries/tools (Pandas, NumPy, Matplotlib, Power BI/Tableau) AI Automation and applications (automation frameworks, Chatbots, AI APIs)

Design course materials, lesson plans, and practical projects aligned with industry requirements.

Guide students through real-world case studies, capstone projects, and automation workflows.

Stay updated on emerging technologies and incorporate latest trends and tools into training.

Assess student performance and provide feedback for skill improvement. Collaborate with the academic team to develop certification programs and curriculum updates.

Participate in seminars, workshops, and webinars to promote the courses.

Required Skills & Competencies Technical Skills:

Strong command over Python and its data libraries (NumPy, Pandas, Matplotlib, Seaborn, scikit-learn, TensorFlow, or PyTorch).

Strong teaching knowledge in Machine Learning, Deep learning NLP and Generative AI

Experience in Data Analytics tools: Power BI, Tableau, Excel Analytics.

Familiarity with AI automation frameworks like RPA tools (UiPath, Automation Anywhere) or Python-based automation (Selenium, OpenAI API, LangChain).

Teaching Skills: Ability to simplify complex concepts and deliver hands-on, interactive sessions. Strong communication, mentorship, and presentation skills.

Language:

English (Preferred)

Qualifications:

Bachelor's/Master's in Computer Science, Data Science, AI, or related field.

Skilled certifications (Python, Data Analytics, AI, RPA) preferred.

2+ years of relevant teaching or corporate training experience.

Job Type: Full-time

Benefits:

- Provident Fund

We are seeking a highly skilled and passionate faculty member who can train students in Python programming, Data Science, Data Analytics and AI Automation. The ideal candidate should have both academic teaching experience and industry exposure to effectively bridge the gap between theory and practical application.

Key Responsibilities

Deliver engaging and structured sessions on: Python programming (from basics to advanced), Data Science(AI &ML;), Data Analytics using libraries/tools (Pandas, NumPy, Matplotlib, Power BI/Tableau) AI Automation and applications (automation frameworks, Chatbots, AI APIs)

Design course materials, lesson plans, and practical projects aligned with industry requirements.

Guide students through real-world case studies, capstone projects, and automation workflows.

Stay updated on emerging technologies and incorporate latest trends and tools into training.

Assess student performance and provide feedback for skill improvement. Collaborate with the academic team to develop certification programs and curriculum updates.

Participate in seminars, workshops, and webinars to promote the courses.

Required Skills & Competencies Technical Skills:

Strong command over Python and its data libraries (NumPy, Pandas, Matplotlib, Seaborn, scikit-learn, TensorFlow, or PyTorch).

Strong teaching knowledge in Machine Learning, Deep learning NLP and Generative AI

Experience in Data Analytics tools: Power BI, Tableau, Excel Analytics.

Familiarity with AI automation frameworks like RPA tools (UiPath, Automation Anywhere) or Python-based automation (Selenium, OpenAI API, LangChain).

Teaching Skills: Ability to simplify complex concepts and deliver hands-on, interactive sessions. Strong communication, mentorship, and presentation skills.

Language:

English (Preferred)

Qualifications:

Bachelor's/Master's in Computer Science, Data Science, AI, or related field.

Skilled certifications (Python, Data Analytics, AI, RPA) preferred.

2+ years of relevant teaching or corporate training experience.

Job Type: Full-time

Benefits:

- Provident Fund

We are seeking a highly skilled and passionate faculty member who can train students in Python programming, Data Science, Data Analytics and AI Automation. The ideal candidate should have both academic teaching experience and industry exposure to effectively bridge the gap between theory and practical application.

Key Responsibilities

Deliver engaging and structured sessions on: Python programming (from basics to advanced), Data Science(AI &ML;), Data Analytics using libraries/tools (Pandas, NumPy, Matplotlib, Power BI/Tableau) AI Automation and applications (automation frameworks, Chatbots, AI APIs)

Design course materials, lesson plans, and practical projects aligned with industry requirements.

Guide students through real-world case studies, capstone projects, and automation workflows.

Stay updated on emerging technologies and incorporate latest trends and tools into training.

Assess student performance and provide feedback for skill improvement. Collaborate with the academic team to develop certification programs and curriculum updates.

Participate in seminars, workshops, and webinars to promote the courses.

Required Skills & Competencies Technical Skills:

Strong command over Python and its data libraries (NumPy, Pandas, Matplotlib, Seaborn, scikit-learn, TensorFlow, or PyTorch).

Strong teaching knowledge in Machine Learning, Deep learning NLP and Generative AI

Experience in Data Analytics tools: Power BI, Tableau, Excel Analytics.

Familiarity with AI automation frameworks like RPA tools (UiPath, Automation Anywhere) or Python-based automation (Selenium, OpenAI API, LangChain).

Teaching Skills: Ability to simplify complex concepts and deliver hands-on, interactive sessions. Strong communication, mentorship, and presentation skills.

Language:

English (Preferred)

Qualifications:

Bachelor's/Master's in Computer Science, Data Science, AI, or related field.

Skilled certifications (Python, Data Analytics, AI, RPA) preferred.

2+ years of relevant teaching or corporate training experience.

Job Type: Full-time

Benefits:

- Provident Fund

We are seeking a highly skilled and passionate faculty member who can train students in Python programming, Data Science, Data Analytics and AI Automation. The ideal candidate should have both academic teaching experience and industry exposure to effectively bridge the gap between theory and practical application.

Key Responsibilities

Deliver engaging and structured sessions on: Python programming (from basics to advanced), Data Science(AI &ML;), Data Analytics using libraries/tools (Pandas, NumPy, Matplotlib, Power BI/Tableau) AI Automation and applications (automation frameworks, Chatbots, AI APIs)

Design course materials, lesson plans, and practical projects aligned with industry requirements.

Guide students through real-world case studies, capstone projects, and automation workflows.

Stay updated on emerging technologies and incorporate latest trends and tools into training.

Assess student performance and provide feedback for skill improvement. Collaborate with the academic team to develop certification programs and curriculum updates.

Participate in seminars, workshops, and webinars to promote the courses.

Required Skills & Competencies Technical Skills:

Strong command over Python and its data libraries (NumPy, Pandas, Matplotlib, Seaborn, scikit-learn, TensorFlow, or PyTorch).

Strong teaching knowledge in Machine Learning, Deep learning NLP and Generative AI

Experience in Data Analytics tools: Power BI, Tableau, Excel Analytics.

Familiarity with AI automation frameworks like RPA tools (UiPath, Automation Anywhere) or Python-based automation (Selenium, OpenAI API, LangChain).

Teaching Skills: Ability to simplify complex concepts and deliver hands-on, interactive sessions. Strong communication, mentorship, and presentation skills.

Language:

English (Preferred)

Qualifications:

Bachelor's/Master's in Computer Science, Data Science, AI, or related field.

Skilled certifications (Python, Data Analytics, AI, RPA) preferred.

2+ years of relevant teaching or corporate training experience.

Job Type: Full-time

Benefits:

- Provident Fund

We are seeking a highly skilled and passionate faculty member who can train students in Python programming, Data Science, Data Analytics and AI Automation. The ideal candidate should have both academic teaching experience and industry exposure to effectively bridge the gap between theory and practical application.

Key Responsibilities

Deliver engaging and structured sessions on: Python programming (from basics to advanced), Data Science(AI &ML;), Data Analytics using libraries/tools (Pandas, NumPy, Matplotlib, Power BI/Tableau) AI Automation and applications (automation frameworks, Chatbots, AI APIs)

Design course materials, lesson plans, and practical projects aligned with industry requirements.

Guide students through real-world case studies, capstone projects, and automation workflows.

Stay updated on emerging technologies and incorporate latest trends and tools into training.

Assess student performance and provide feedback for skill improvement. Collaborate with the academic team to develop certification programs and curriculum updates.

Participate in seminars, workshops, and webinars to promote the courses.

Required Skills & Competencies Technical Skills:

Strong command over Python and its data libraries (NumPy, Pandas, Matplotlib, Seaborn, scikit-learn, TensorFlow, or PyTorch).

Strong teaching knowledge in Machine Learning, Deep learning NLP and Generative AI

Experience in Data Analytics tools: Power BI, Tableau, Excel Analytics.

Familiarity with AI automation frameworks like RPA tools (UiPath, Automation Anywhere) or Python-based automation (Selenium, OpenAI API, LangChain).

Teaching Skills: Ability to simplify complex concepts and deliver hands-on, interactive sessions. Strong communication, mentorship, and presentation skills.

Language:

English (Preferred)

Qualifications:

Bachelor's/Master's in Computer Science, Data Science, AI, or related field.

Skilled certifications (Python, Data Analytics, AI, RPA) preferred.

2+ years of relevant teaching or corporate training experience.

Job Type: Full-time

Benefits:

- Provident Fund

We are seeking a highly skilled and passionate faculty member who can train students in Python programming, Data Science, Data Analytics and AI Automation. The ideal candidate should have both academic teaching experience and industry exposure to effectively bridge the gap between theory and practical application.

Key Responsibilities

Deliver engaging and structured sessions on: Python programming (from basics to advanced), Data Science(AI &ML;), Data Analytics using libraries/tools (Pandas, NumPy, Matplotlib, Power BI/Tableau) AI Automation and applications (automation frameworks, Chatbots, AI APIs)

Design course materials, lesson plans, and practical projects aligned with industry requirements.

Guide students through real-world case studies, capstone projects, and automation workflows.

Stay updated on emerging technologies and incorporate latest trends and tools into training.

Assess student performance and provide feedback for skill improvement. Collaborate with the academic team to develop certification programs and curriculum updates.

Participate in seminars, workshops, and webinars to promote the courses.

Required Skills & Competencies Technical Skills:

Strong command over Python and its data libraries (NumPy, Pandas, Matplotlib, Seaborn, scikit-learn, TensorFlow, or PyTorch).

Strong teaching knowledge in Machine Learning, Deep learning NLP and Generative AI

Experience in Data Analytics tools: Power BI, Tableau, Excel Analytics.

Familiarity with AI automation frameworks like RPA tools (UiPath, Automation Anywhere) or Python-based automation (Selenium, OpenAI API, LangChain).

Teaching Skills: Ability to simplify complex concepts and deliver hands-on, interactive sessions. Strong communication, mentorship, and presentation skills.

Language:

English (Preferred)

Qualifications:

Bachelor's/Master's in Computer Science, Data Science, AI, or related field.

Skilled certifications (Python, Data Analytics, AI, RPA) preferred.

2+ years of relevant teaching or corporate training experience.

Job Type: Full-time

Benefits:

- Provident Fund

We are seeking a highly skilled and passionate faculty member who can train students in Python programming, Data Science, Data Analytics and AI Automation. The ideal candidate should have both academic teaching experience and industry exposure to effectively bridge the gap between theory and practical application.

Key Responsibilities

Deliver engaging and structured sessions on: Python programming (from basics to advanced), Data Science(AI &ML;), Data Analytics using libraries/tools (Pandas, NumPy, Matplotlib, Power BI/Tableau) AI Automation and applications (automation frameworks, Chatbots, AI APIs)

Design course materials, lesson plans, and practical projects aligned with industry requirements.

Guide students through real-world case studies, capstone projects, and automation workflows.

Stay updated on emerging technologies and incorporate latest trends and tools into training.

Assess student performance and provide feedback for skill improvement. Collaborate with the academic team to develop certification programs and curriculum updates.

Participate in seminars, workshops, and webinars to promote the courses.

Required Skills & Competencies Technical Skills:

Strong command over Python and its data libraries (NumPy, Pandas, Matplotlib, Seaborn, scikit-learn, TensorFlow, or PyTorch).

Strong teaching knowledge in Machine Learning, Deep learning NLP and Generative AI

Experience in Data Analytics tools: Power BI, Tableau, Excel Analytics.

Familiarity with AI automation frameworks like RPA tools (UiPath, Automation Anywhere) or Python-based automation (Selenium, OpenAI API, LangChain).

Teaching Skills: Ability to simplify complex concepts and deliver hands-on, interactive sessions. Strong communication, mentorship, and presentation skills.

Language:

English (Preferred)

Qualifications:

Bachelor's/Master's in Computer Science, Data Science, AI, or related field.

Skilled certifications (Python, Data Analytics, AI, RPA) preferred.

2+ years of relevant teaching or corporate training experience.

Job Type: Full-time

Benefits:

- Provident Fund

We are seeking a highly skilled and passionate faculty member who can train students in Python programming, Data Science, Data Analytics and AI Automation. The ideal candidate should have both academic teaching experience and industry exposure to effectively bridge the gap between theory and practical application.

Key Responsibilities

Deliver engaging and structured sessions on: Python programming (from basics to advanced), Data Science(AI &ML;), Data Analytics using libraries/tools (Pandas, NumPy, Matplotlib, Power BI/Tableau) AI Automation and applications (automation frameworks, Chatbots, AI APIs)

Design course materials, lesson plans, and practical projects aligned with industry requirements.

Guide students through real-world case studies, capstone projects, and automation workflows.

Stay updated on emerging technologies and incorporate latest trends and tools into training.

Assess student performance and provide feedback for skill improvement. Collaborate with the academic team to develop certification programs and curriculum updates.

Participate in seminars, workshops, and webinars to promote the courses.

Required Skills & Competencies Technical Skills:

Strong command over Python and its data libraries (NumPy, Pandas, Matplotlib, Seaborn, scikit-learn, TensorFlow, or PyTorch).

Strong teaching knowledge in Machine Learning, Deep learning NLP and Generative AI

Experience in Data Analytics tools: Power BI, Tableau, Excel Analytics.

Familiarity with AI automation frameworks like RPA tools (UiPath, Automation Anywhere) or Python-based automation (Selenium, OpenAI API, LangChain).

Teaching Skills: Ability to simplify complex concepts and deliver hands-on, interactive sessions. Strong communication, mentorship, and presentation skills.

Language:

English (Preferred)

Qualifications:

Bachelor's/Master's in Computer Science, Data Science, AI, or related field.

Skilled certifications (Python, Data Analytics, AI, RPA) preferred.

2+ years of relevant teaching or corporate training experience.

Job Type: Full-time

Benefits:

- Provident Fund

We are seeking a highly skilled and passionate faculty member who can train students in Python programming, Data Science, Data Analytics and AI Automation. The ideal candidate should have both academic teaching experience and industry exposure to effectively bridge the gap between theory and practical application.

Key Responsibilities

Deliver engaging and structured sessions on: Python programming (from basics to advanced), Data Science(AI &ML;), Data Analytics using libraries/tools (Pandas, NumPy, Matplotlib, Power BI/Tableau) AI Automation and applications (automation frameworks, Chatbots, AI APIs)

Design course materials, lesson plans, and practical projects aligned with industry requirements.

Guide students through real-world case studies, capstone projects, and automation workflows.

Stay updated on emerging technologies and incorporate latest trends and tools into training.

Assess student performance and provide feedback for skill improvement. Collaborate with the academic team to develop certification programs and curriculum updates.

Participate in seminars, workshops, and webinars to promote the courses.

Required Skills & Competencies Technical Skills:

Strong command over Python and its data libraries (NumPy, Pandas, Matplotlib, Seaborn, scikit-learn, TensorFlow, or PyTorch).

Strong teaching knowledge in Machine Learning, Deep learning NLP and Generative AI

Experience in Data Analytics tools: Power BI, Tableau, Excel Analytics.

Familiarity with AI automation frameworks like RPA tools (UiPath, Automation Anywhere) or Python-based automation (Selenium, OpenAI API, LangChain).

Teaching Skills: Ability to simplify complex concepts and deliver hands-on, interactive sessions. Strong communication, mentorship, and presentation skills.

Language:

English (Preferred)

Qualifications:

Bachelor's/Master's in Computer Science, Data Science, AI, or related field.

Skilled certifications (Python, Data Analytics, AI, RPA) preferred.

2+ years of relevant teaching or corporate training experience.

Job Type: Full-time

Benefits:

- Provident Fund

We are seeking a highly skilled and passionate faculty member who can train students in Python programming, Data Science, Data Analytics and AI Automation. The ideal candidate should have both academic teaching experience and industry exposure to effectively bridge the gap between theory and practical application.

Key Responsibilities

Deliver engaging and structured sessions on: Python programming (from basics to advanced), Data Science(AI &ML;), Data Analytics using libraries/tools (Pandas, NumPy, Matplotlib, Power BI/Tableau) AI Automation and applications (automation frameworks, Chatbots, AI APIs)

Design course materials, lesson plans, and practical projects aligned with industry requirements.

Guide students through real-world case studies, capstone projects, and automation workflows.

Stay updated on emerging technologies and incorporate latest trends and tools into training.

Assess student performance and provide feedback for skill improvement. Collaborate with the academic team to develop certification programs and curriculum updates.

Participate in seminars, workshops, and webinars to promote the courses.

Required Skills & Competencies Technical Skills:

Strong command over Python and its data libraries (NumPy, Pandas, Matplotlib, Seaborn, scikit-learn, TensorFlow, or PyTorch).

Strong teaching knowledge in Machine Learning, Deep learning NLP and Generative AI

Experience in Data Analytics tools: Power BI, Tableau, Excel Analytics.

Familiarity with AI automation frameworks like RPA tools (UiPath, Automation Anywhere) or Python-based automation (Selenium, OpenAI API, LangChain).

Teaching Skills: Ability to simplify complex concepts and deliver hands-on, interactive sessions. Strong communication, mentorship, and presentation skills.

Language:

English (Preferred)

Qualifications:

Bachelor's/Master's in Computer Science, Data Science, AI, or related field.

Skilled certifications (Python, Data Analytics, AI, RPA) preferred.

2+ years of relevant teaching or corporate training experience.

Job Type: Full-time

Benefits:

- Provident Fund

We are seeking a highly skilled and passionate faculty member who can train students in Python programming, Data Science, Data Analytics and AI Automation. The ideal candidate should have both academic teaching experience and industry exposure to effectively bridge the gap between theory and practical application.

Key Responsibilities

Deliver engaging and structured sessions on: Python programming (from basics to advanced), Data Science(AI &ML;), Data Analytics using libraries/tools (Pandas, NumPy, Matplotlib, Power BI/Tableau) AI Automation and applications (automation frameworks, Chatbots, AI APIs)

Design course materials, lesson plans, and practical projects aligned with industry requirements.

Guide students through real-world case studies, capstone projects, and automation workflows.

Stay updated on emerging technologies and incorporate latest trends and tools into training.

Assess student performance and provide feedback for skill improvement. Collaborate with the academic team to develop certification programs and curriculum updates.

Participate in seminars, workshops, and webinars to promote the courses.

Required Skills & Competencies Technical Skills:

Strong command over Python and its data libraries (NumPy, Pandas, Matplotlib, Seaborn, scikit-learn, TensorFlow, or PyTorch).

Strong teaching knowledge in Machine Learning, Deep learning NLP and Generative AI

Experience in Data Analytics tools: Power BI, Tableau, Excel Analytics.

Familiarity with AI automation frameworks like RPA tools (UiPath, Automation Anywhere) or Python-based automation (Selenium, OpenAI API, LangChain).

Teaching Skills: Ability to simplify complex concepts and deliver hands-on, interactive sessions. Strong communication, mentorship, and presentation skills.

Language:

English (Preferred)

Qualifications:

Bachelor's/Master's in Computer Science, Data Science, AI, or related field.

Skilled certifications (Python, Data Analytics, AI, RPA) preferred.

2+ years of relevant teaching or corporate training experience.

Job Type: Full-time

Benefits:

- Provident Fund

We are seeking a highly skilled and passionate faculty member who can train students in Python programming, Data Science, Data Analytics and AI Automation. The ideal candidate should have both academic teaching experience and industry exposure to effectively bridge the gap between theory and practical application.

Key Responsibilities

Deliver engaging and structured sessions on: Python programming (from basics to advanced), Data Science(AI &ML;), Data Analytics using libraries/tools (Pandas, NumPy, Matplotlib, Power BI/Tableau) AI Automation and applications (automation frameworks, Chatbots, AI APIs)

Design course materials, lesson plans, and practical projects aligned with industry requirements.

Guide students through real-world case studies, capstone projects, and automation workflows.

Stay updated on emerging technologies and incorporate latest trends and tools into training.

Assess student performance and provide feedback for skill improvement. Collaborate with the academic team to develop certification programs and curriculum updates.

Participate in seminars, workshops, and webinars to promote the courses.

Required Skills & Competencies Technical Skills:

Strong command over Python and its data libraries (NumPy, Pandas, Matplotlib, Seaborn, scikit-learn, TensorFlow, or PyTorch).

Strong teaching knowledge in Machine Learning, Deep learning NLP and Generative AI

Experience in Data Analytics tools: Power BI, Tableau, Excel Analytics.

Familiarity with AI automation frameworks like RPA tools (UiPath, Automation Anywhere) or Python-based automation (Selenium, OpenAI API, LangChain).

Teaching Skills: Ability to simplify complex concepts and deliver hands-on, interactive sessions. Strong communication, mentorship, and presentation skills.

Language:

English (Preferred)

Qualifications:

Bachelor's/Master's in Computer Science, Data Science, AI, or related field.

Skilled certifications (Python, Data Analytics, AI, RPA) preferred.

2+ years of relevant teaching or corporate training experience.

Job Type: Full-time

Benefits:

- Provident Fund

We are seeking a highly skilled and passionate faculty member who can train students in Python programming, Data Science, Data Analytics and AI Automation. The ideal candidate should have both academic teaching experience and industry exposure to effectively bridge the gap between theory and practical application.

Key Responsibilities

Deliver engaging and structured sessions on: Python programming (from basics to advanced), Data Science(AI &ML;), Data Analytics using libraries/tools (Pandas, NumPy, Matplotlib, Power BI/Tableau) AI Automation and applications (automation frameworks, Chatbots, AI APIs)

Design course materials, lesson plans, and practical projects aligned with industry requirements.

Guide students through real-world case studies, capstone projects, and automation workflows.

Stay updated on emerging technologies and incorporate latest trends and tools into training.

Assess student performance and provide feedback for skill improvement. Collaborate with the academic team to develop certification programs and curriculum updates.

Participate in seminars, workshops, and webinars to promote the courses.

Required Skills & Competencies Technical Skills:

Strong command over Python and its data libraries (NumPy, Pandas, Matplotlib, Seaborn, scikit-learn, TensorFlow, or PyTorch).

Strong teaching knowledge in Machine Learning, Deep learning NLP and Generative AI

Experience in Data Analytics tools: Power BI, Tableau, Excel Analytics.

Familiarity with AI automation frameworks like RPA tools (UiPath, Automation Anywhere) or Python-based automation (Selenium, OpenAI API, LangChain).

Teaching Skills: Ability to simplify complex concepts and deliver hands-on, interactive sessions. Strong communication, mentorship, and presentation skills.

Language:

English (Preferred)

Qualifications:

Bachelor's/Master's in Computer Science, Data Science, AI, or related field.

Skilled certifications (Python, Data Analytics, AI, RPA) preferred.

2+ years of relevant teaching or corporate training experience.

Job Type: Full-time

Benefits:

- Provident Fund

We are seeking a highly skilled and passionate faculty member who can train students in Python programming, Data Science, Data Analytics and AI Automation. The ideal candidate should have both academic teaching experience and industry exposure to effectively bridge the gap between theory and practical application.

Key Responsibilities

Deliver engaging and structured sessions on: Python programming (from basics to advanced), Data Science(AI &ML;), Data Analytics using libraries/tools (Pandas, NumPy, Matplotlib, Power BI/Tableau) AI Automation and applications (automation frameworks, Chatbots, AI APIs)

Design course materials, lesson plans, and practical projects aligned with industry requirements.

Guide students through real-world case studies, capstone projects, and automation workflows.

Stay updated on emerging technologies and incorporate latest trends and tools into training.

Assess student performance and provide feedback for skill improvement. Collaborate with the academic team to develop certification programs and curriculum updates.

Participate in seminars, workshops, and webinars to promote the courses.

Required Skills & Competencies Technical Skills:

Strong command over Python and its data libraries (NumPy, Pandas, Matplotlib, Seaborn, scikit-learn, TensorFlow, or PyTorch).

Strong teaching knowledge in Machine Learning, Deep learning NLP and Generative AI

Experience in Data Analytics tools: Power BI, Tableau, Excel Analytics.

Familiarity with AI automation frameworks like RPA tools (UiPath, Automation Anywhere) or Python-based automation (Selenium, OpenAI API, LangChain).

Teaching Skills: Ability to simplify complex concepts and deliver hands-on, interactive sessions. Strong communication, mentorship, and presentation skills.

Language:

English (Preferred)

Qualifications:

Bachelor's/Master's in Computer Science, Data Science, AI, or related field.

Skilled certifications (Python, Data Analytics, AI, RPA) preferred.

2+ years of relevant teaching or corporate training experience.

Job Type: Full-time

Benefits:

- Provident Fund

We are seeking a highly skilled and passionate faculty member who can train students in Python programming, Data Science, Data Analytics and AI Automation. The ideal candidate should have both academic teaching experience and industry exposure to effectively bridge the gap between theory and practical application.

Key Responsibilities

Deliver engaging and structured sessions on: Python programming (from basics to advanced), Data Science(AI &ML;), Data Analytics using libraries/tools (Pandas, NumPy, Matplotlib, Power BI/Tableau) AI Automation and applications (automation frameworks, Chatbots, AI APIs)

Design course materials, lesson plans, and practical projects aligned with industry requirements.

Guide students through real-world case studies, capstone projects, and automation workflows.

Stay updated on emerging technologies and incorporate latest trends and tools into training.

Assess student performance and provide feedback for skill improvement. Collaborate with the academic team to develop certification programs and curriculum updates.

Participate in seminars, workshops, and webinars to promote the courses.

Required Skills & Competencies Technical Skills:

Strong command over Python and its data libraries (NumPy, Pandas, Matplotlib, Seaborn, scikit-learn, TensorFlow, or PyTorch).

Strong teaching knowledge in Machine Learning, Deep learning NLP and Generative AI

Experience in Data Analytics tools: Power BI, Tableau, Excel Analytics.

Familiarity with AI automation frameworks like RPA tools (UiPath, Automation Anywhere) or Python-based automation (Selenium, OpenAI API, LangChain).

Teaching Skills: Ability to simplify complex concepts and deliver hands-on, interactive sessions. Strong communication, mentorship, and presentation skills.

Language:

English (Preferred)

Qualifications:

Bachelor's/Master's in Computer Science, Data Science, AI, or related field.

Skilled certifications (Python, Data Analytics, AI, RPA) preferred.

2+ years of relevant teaching or corporate training experience.

Job Type: Full-time

Benefits:

- Provident Fund

We are seeking a highly skilled and passionate faculty member who can train students in Python programming, Data Science, Data Analytics and AI Automation. The ideal candidate should have both academic teaching experience and industry exposure to effectively bridge the gap between theory and practical application.

Key Responsibilities

Deliver engaging and structured sessions on: Python programming (from basics to advanced), Data Science(AI &ML;), Data Analytics using libraries/tools (Pandas, NumPy, Matplotlib, Power BI/Tableau) AI Automation and applications (automation frameworks, Chatbots, AI APIs)

Design course materials, lesson plans, and practical projects aligned with industry requirements.

Guide students through real-world case studies, capstone projects, and automation workflows.

Stay updated on emerging technologies and incorporate latest trends and tools into training.

Assess student performance and provide feedback for skill improvement. Collaborate with the academic team to develop certification programs and curriculum updates.

Participate in seminars, workshops, and webinars to promote the courses.

Required Skills & Competencies Technical Skills:

Strong command over Python and its data libraries (NumPy, Pandas, Matplotlib, Seaborn, scikit-learn, TensorFlow, or PyTorch).

Strong teaching knowledge in Machine Learning, Deep learning NLP and Generative AI

Experience in Data Analytics tools: Power BI, Tableau, Excel Analytics.

Familiarity with AI automation frameworks like RPA tools (UiPath, Automation Anywhere) or Python-based automation (Selenium, OpenAI API, LangChain).

Teaching Skills: Ability to simplify complex concepts and deliver hands-on, interactive sessions. Strong communication, mentorship, and presentation skills.

Language:

English (Preferred)

Qualifications:

Bachelor's/Master's in Computer Science, Data Science, AI, or related field.

Skilled certifications (Python, Data Analytics, AI, RPA) preferred.

2+ years of relevant teaching or corporate training experience.

Job Type: Full-time

Benefits:

- Provident Fund

We are seeking a highly skilled and passionate faculty member who can train students in Python programming, Data Science, Data Analytics and AI Automation. The ideal candidate should have both academic teaching experience and industry exposure to effectively bridge the gap between theory and practical application.

Key Responsibilities

Deliver engaging and structured sessions on: Python programming (from basics to advanced), Data Science(AI &ML;), Data Analytics using libraries/tools (Pandas, NumPy, Matplotlib, Power BI/Tableau) AI Automation and applications (automation frameworks, Chatbots, AI APIs)

Design course materials, lesson plans, and practical projects aligned with industry requirements.

Guide students through real-world case studies, capstone projects, and automation workflows.

Stay updated on emerging technologies and incorporate latest trends and tools into training.

Assess student performance and provide feedback for skill improvement. Collaborate with the academic team to develop certification programs and curriculum updates.

Participate in seminars, workshops, and webinars to promote the courses.

Required Skills & Competencies Technical Skills:

Strong command over Python and its data libraries (NumPy, Pandas, Matplotlib, Seaborn, scikit-learn, TensorFlow, or PyTorch).

Strong teaching knowledge in Machine Learning, Deep learning NLP and Generative AI

Experience in Data Analytics tools: Power BI, Tableau, Excel Analytics.

Familiarity with AI automation frameworks like RPA tools (UiPath, Automation Anywhere) or Python-based automation (Selenium, OpenAI API, LangChain).

Teaching Skills: Ability to simplify complex concepts and deliver hands-on, interactive sessions. Strong communication, mentorship, and presentation skills.

Language:

English (Preferred)

Qualifications:

Bachelor's/Master's in Computer Science, Data Science, AI, or related field.

Skilled certifications (Python, Data Analytics, AI, RPA) preferred.

2+ years of relevant teaching or corporate training experience.

Job Type: Full-time

Benefits:

- Provident Fund

We are seeking a highly skilled and passionate faculty member who can train students in Python programming, Data Science, Data Analytics and AI Automation. The ideal candidate should have both academic teaching experience and industry exposure to effectively bridge the gap between theory and practical application.

Key Responsibilities

Deliver engaging and structured sessions on: Python programming (from basics to advanced), Data Science(AI &ML;), Data Analytics using libraries/tools (Pandas, NumPy, Matplotlib, Power BI/Tableau) AI Automation and applications (automation frameworks, Chatbots, AI APIs)

Design course materials, lesson plans, and practical projects aligned with industry requirements.

Guide students through real-world case studies, capstone projects, and automation workflows.

Stay updated on emerging technologies and incorporate latest trends and tools into training.

Assess student performance and provide feedback for skill improvement. Collaborate with the academic team to develop certification programs and curriculum updates.

Participate in seminars, workshops, and webinars to promote the courses.

Required Skills & Competencies Technical Skills:

Strong command over Python and its data libraries (NumPy, Pandas, Matplotlib, Seaborn, scikit-learn, TensorFlow, or PyTorch).

Strong teaching knowledge in Machine Learning, Deep learning NLP and Generative AI

Experience in Data Analytics tools: Power BI, Tableau, Excel Analytics.

Familiarity with AI automation frameworks like RPA tools (UiPath, Automation Anywhere) or Python-based automation (Selenium, OpenAI API, LangChain).

Teaching Skills: Ability to simplify complex concepts and deliver hands-on, interactive sessions. Strong communication, mentorship, and presentation skills.

Language:

English (Preferred)

Qualifications:

Bachelor's/Master's in Computer Science, Data Science, AI, or related field.

Skilled certifications (Python, Data Analytics, AI, RPA) preferred.

2+ years of relevant teaching or corporate training experience.

Job Type: Full-time

Benefits:

- Provident Fund

We are seeking a highly skilled and passionate faculty member who can train students in Python programming, Data Science, Data Analytics and AI Automation. The ideal candidate should have both academic teaching experience and industry exposure to effectively bridge the gap between theory and practical application.

Key Responsibilities

Deliver engaging and structured sessions on: Python programming (from basics to advanced), Data Science(AI &ML;), Data Analytics using libraries/tools (Pandas, NumPy, Matplotlib, Power BI/Tableau) AI Automation and applications (automation frameworks, Chatbots, AI APIs)

Design course materials, lesson plans, and practical projects aligned with industry requirements.

Guide students through real-world case studies, capstone projects, and automation workflows.

Stay updated on emerging technologies and incorporate latest trends and tools into training.

Assess student performance and provide feedback for skill improvement. Collaborate with the academic team to develop certification programs and curriculum updates.

Participate in seminars, workshops, and webinars to promote the courses.

Required Skills & Competencies Technical Skills:

Strong command over Python and its data libraries (NumPy, Pandas, Matplotlib, Seaborn, scikit-learn, TensorFlow, or PyTorch).

Strong teaching knowledge in Machine Learning, Deep learning NLP and Generative AI

Experience in Data Analytics tools: Power BI, Tableau, Excel Analytics.

Familiarity with AI automation frameworks like RPA tools (UiPath, Automation Anywhere) or Python-based automation (Selenium, OpenAI API, LangChain).

Teaching Skills: Ability to simplify complex concepts and deliver hands-on, interactive sessions. Strong communication, mentorship, and presentation skills.

Language:

English (Preferred)

Qualifications:

Bachelor's/Master's in Computer Science, Data Science, AI, or related field.

Skilled certifications (Python, Data Analytics, AI, RPA) preferred.

2+ years of relevant teaching or corporate training experience.

Job Type: Full-time

Benefits:

- Provident Fund

We are seeking a highly skilled and passionate faculty member who can train students in Python programming, Data Science, Data Analytics and AI Automation. The ideal candidate should have both academic teaching experience and industry exposure to effectively bridge the gap between theory and practical application.

Key Responsibilities

Deliver engaging and structured sessions on: Python programming (from basics to advanced), Data Science(AI &ML;), Data Analytics using libraries/tools (Pandas, NumPy, Matplotlib, Power BI/Tableau) AI Automation and applications (automation frameworks, Chatbots, AI APIs)

Design course materials, lesson plans, and practical projects aligned with industry requirements.

Guide students through real-world case studies, capstone projects, and automation workflows.

Stay updated on emerging technologies and incorporate latest trends and tools into training.

Assess student performance and provide feedback for skill improvement. Collaborate with the academic team to develop certification programs and curriculum updates.

Participate in seminars, workshops, and webinars to promote the courses.

Required Skills & Competencies Technical Skills:

Strong command over Python and its data libraries (NumPy, Pandas, Matplotlib, Seaborn, scikit-learn, TensorFlow, or PyTorch).

Strong teaching knowledge in Machine Learning, Deep learning NLP and Generative AI

Experience in Data Analytics tools: Power BI, Tableau, Excel Analytics.

Familiarity with AI automation frameworks like RPA tools (UiPath, Automation Anywhere) or Python-based automation (Selenium, OpenAI API, LangChain).

Teaching Skills: Ability to simplify complex concepts and deliver hands-on, interactive sessions. Strong communication, mentorship, and presentation skills.

Language:

English (Preferred)

Qualifications:

Bachelor's/Master's in Computer Science, Data Science, AI, or related field.

Skilled certifications (Python, Data Analytics, AI, RPA) preferred.

2+ years of relevant teaching or corporate training experience.

Job Type: Full-time

Benefits:

- Provident Fund

We are seeking a highly skilled and passionate faculty member who can train students in Python programming, Data Science, Data Analytics and AI Automation. The ideal candidate should have both academic teaching experience and industry exposure to effectively bridge the gap between theory and practical application.

Key Responsibilities

Deliver engaging and structured sessions on: Python programming (from basics to advanced), Data Science(AI &ML;), Data Analytics using libraries/tools (Pandas, NumPy, Matplotlib, Power BI/Tableau) AI Automation and applications (automation frameworks, Chatbots, AI APIs)

Design course materials, lesson plans, and practical projects aligned with industry requirements.

Guide students through real-world case studies, capstone projects, and automation workflows.

Stay updated on emerging technologies and incorporate latest trends and tools into training.

Assess student performance and provide feedback for skill improvement. Collaborate with the academic team to develop certification programs and curriculum updates.

Participate in seminars, workshops, and webinars to promote the courses.

Required Skills & Competencies Technical Skills:

Strong command over Python and its data libraries (NumPy, Pandas, Matplotlib, Seaborn, scikit-learn, TensorFlow, or PyTorch).

Strong teaching knowledge in Machine Learning, Deep learning NLP and Generative AI

Experience in Data Analytics tools: Power BI, Tableau, Excel Analytics.

Familiarity with AI automation frameworks like RPA tools (UiPath, Automation Anywhere) or Python-based automation (Selenium, OpenAI API, LangChain).

Teaching Skills: Ability to simplify complex concepts and deliver hands-on, interactive sessions. Strong communication, mentorship, and presentation skills.

Language:

English (Preferred)

Qualifications:

Bachelor's/Master's in Computer Science, Data Science, AI, or related field.

Skilled certifications (Python, Data Analytics, AI, RPA) preferred.

2+ years of relevant teaching or corporate training experience.

Job Type: Full-time

Benefits:

- Provident Fund

We are seeking a highly skilled and passionate faculty member who can train students in Python programming, Data Science, Data Analytics and AI Automation. The ideal candidate should have both academic teaching experience and industry exposure to effectively bridge the gap between theory and practical application.

Key Responsibilities

Deliver engaging and structured sessions on: Python programming (from basics to advanced), Data Science(AI &ML;), Data Analytics using libraries/tools (Pandas, NumPy, Matplotlib, Power BI/Tableau) AI Automation and applications (automation frameworks, Chatbots, AI APIs)

Design course materials, lesson plans, and practical projects aligned with industry requirements.

Guide students through real-world case studies, capstone projects, and automation workflows.

Stay updated on emerging technologies and incorporate latest trends and tools into training.

Assess student performance and provide feedback for skill improvement. Collaborate with the academic team to develop certification programs and curriculum updates.

Participate in seminars, workshops, and webinars to promote the courses.

Required Skills & Competencies Technical Skills:

Strong command over Python and its data libraries (NumPy, Pandas, Matplotlib, Seaborn, scikit-learn, TensorFlow, or PyTorch).

Strong teaching knowledge in Machine Learning, Deep learning NLP and Generative AI

Experience in Data Analytics tools: Power BI, Tableau, Excel Analytics.

Familiarity with AI automation frameworks like RPA tools (UiPath, Automation Anywhere) or Python-based automation (Selenium, OpenAI API, LangChain).

Teaching Skills: Ability to simplify complex concepts and deliver hands-on, interactive sessions. Strong communication, mentorship, and presentation skills.

Language:

English (Preferred)

Qualifications:

Bachelor's/Master's in Computer Science, Data Science, AI, or related field.

Skilled certifications (Python, Data Analytics, AI, RPA) preferred.

2+ years of relevant teaching or corporate training experience.

Job Type: Full-time

Benefits:

- Provident Fund

We are seeking a highly skilled and passionate faculty member who can train students in Python programming, Data Science, Data Analytics and AI Automation. The ideal candidate should have both academic teaching experience and industry exposure to effectively bridge the gap between theory and practical application.

Key Responsibilities

Deliver engaging and structured sessions on: Python programming (from basics to advanced), Data Science(AI &ML;), Data Analytics using libraries/tools (Pandas, NumPy, Matplotlib, Power BI/Tableau) AI Automation and applications (automation frameworks, Chatbots, AI APIs)

Design course materials, lesson plans, and practical projects aligned with industry requirements.

Guide students through real-world case studies, capstone projects, and automation workflows.

Stay updated on emerging technologies and incorporate latest trends and tools into training.

Assess student performance and provide feedback for skill improvement. Collaborate with the academic team to develop certification programs and curriculum updates.

Participate in seminars, workshops, and webinars to promote the courses.

Required Skills & Competencies Technical Skills:

Strong command over Python and its data libraries (NumPy, Pandas, Matplotlib, Seaborn, scikit-learn, TensorFlow, or PyTorch).

Strong teaching knowledge in Machine Learning, Deep learning NLP and Generative AI

Experience in Data Analytics tools: Power BI, Tableau, Excel Analytics.

Familiarity with AI automation frameworks like RPA tools (UiPath, Automation Anywhere) or Python-based automation (Selenium, OpenAI API, LangChain).

Teaching Skills: Ability to simplify complex concepts and deliver hands-on, interactive sessions. Strong communication, mentorship, and presentation skills.

Language:

English (Preferred)

Qualifications:

Bachelor's/Master's in Computer Science, Data Science, AI, or related field.

Skilled certifications (Python, Data Analytics, AI, RPA) preferred.

2+ years of relevant teaching or corporate training experience.

Job Type: Full-time

Benefits:

- Provident Fund

We are seeking a highly skilled and passionate faculty member who can train students in Python programming, Data Science, Data Analytics and AI Automation. The ideal candidate should have both academic teaching experience and industry exposure to effectively bridge the gap between theory and practical application.

Key Responsibilities

Deliver engaging and structured sessions on: Python programming (from basics to advanced), Data Science(AI &ML;), Data Analytics using libraries/tools (Pandas, NumPy, Matplotlib, Power BI/Tableau) AI Automation and applications (automation frameworks, Chatbots, AI APIs)

Design course materials, lesson plans, and practical projects aligned with industry requirements.

Guide students through real-world case studies, capstone projects, and automation workflows.

Stay updated on emerging technologies and incorporate latest trends and tools into training.

Assess student performance and provide feedback for skill improvement. Collaborate with the academic team to develop certification programs and curriculum updates.

Participate in seminars, workshops, and webinars to promote the courses.

Required Skills & Competencies Technical Skills:

Strong command over Python and its data libraries (NumPy, Pandas, Matplotlib, Seaborn, scikit-learn, TensorFlow, or PyTorch).

Strong teaching knowledge in Machine Learning, Deep learning NLP and Generative AI

Experience in Data Analytics tools: Power BI, Tableau, Excel Analytics.

Familiarity with AI automation frameworks like RPA tools (UiPath, Automation Anywhere) or Python-based automation (Selenium, OpenAI API, LangChain).

Teaching Skills: Ability to simplify complex concepts and deliver hands-on, interactive sessions. Strong communication, mentorship, and presentation skills.

Language:

English (Preferred)

Qualifications:

Bachelor's/Master's in Computer Science, Data Science, AI, or related field.

Skilled certifications (Python, Data Analytics, AI, RPA) preferred.

2+ years of relevant teaching or corporate training experience.

Job Type: Full-time

Benefits:

- Provident Fund

We are seeking a highly skilled and passionate faculty member who can train students in Python programming, Data Science, Data Analytics and AI Automation. The ideal candidate should have both academic teaching experience and industry exposure to effectively bridge the gap between theory and practical application.

Key Responsibilities

Deliver engaging and structured sessions on: Python programming (from basics to advanced), Data Science(AI &ML;), Data Analytics using libraries/tools (Pandas, NumPy, Matplotlib, Power BI/Tableau) AI Automation and applications (automation frameworks, Chatbots, AI APIs)

Design course materials, lesson plans, and practical projects aligned with industry requirements.

Guide students through real-world case studies, capstone projects, and automation workflows.

Stay updated on emerging technologies and incorporate latest trends and tools into training.

Assess student performance and provide feedback for skill improvement. Collaborate with the academic team to develop certification programs and curriculum updates.

Participate in seminars, workshops, and webinars to promote the courses.

Required Skills & Competencies Technical Skills:

Strong command over Python and its data libraries (NumPy, Pandas, Matplotlib, Seaborn, scikit-learn, TensorFlow, or PyTorch).

Strong teaching knowledge in Machine Learning, Deep learning NLP and Generative AI

Experience in Data Analytics tools: Power BI, Tableau, Excel Analytics.

Familiarity with AI automation frameworks like RPA tools (UiPath, Automation Anywhere) or Python-based automation (Selenium, OpenAI API, LangChain).

Teaching Skills: Ability to simplify complex concepts and deliver hands-on, interactive sessions. Strong communication, mentorship, and presentation skills.

Language:

English (Preferred)

Qualifications:

Bachelor's/Master's in Computer Science, Data Science, AI, or related field.

Skilled certifications (Python, Data Analytics, AI, RPA) preferred.

2+ years of relevant teaching or corporate training experience.

Job Type: Full-time

Benefits:

- Provident Fund

We are seeking a highly skilled and passionate faculty member who can train students in Python programming, Data Science, Data Analytics and AI Automation. The ideal candidate should have both academic teaching experience and industry exposure to effectively bridge the gap between theory and practical application.

Key Responsibilities

Deliver engaging and structured sessions on: Python programming (from basics to advanced), Data Science(AI &ML;), Data Analytics using libraries/tools (Pandas, NumPy, Matplotlib, Power BI/Tableau) AI Automation and applications (automation frameworks, Chatbots, AI APIs)

Design course materials, lesson plans, and practical projects aligned with industry requirements.

Guide students through real-world case studies, capstone projects, and automation workflows.

Stay updated on emerging technologies and incorporate latest trends and tools into training.

Assess student performance and provide feedback for skill improvement. Collaborate with the academic team to develop certification programs and curriculum updates.

Participate in seminars, workshops, and webinars to promote the courses.

Required Skills & Competencies Technical Skills:

Strong command over Python and its data libraries (NumPy, Pandas, Matplotlib, Seaborn, scikit-learn, TensorFlow, or PyTorch).

Strong teaching knowledge in Machine Learning, Deep learning NLP and Generative AI

Experience in Data Analytics tools: Power BI, Tableau, Excel Analytics.

Familiarity with AI automation frameworks like RPA tools (UiPath, Automation Anywhere) or Python-based automation (Selenium, OpenAI API, LangChain).

Teaching Skills: Ability to simplify complex concepts and deliver hands-on, interactive sessions. Strong communication, mentorship, and presentation skills.

Language:

English (Preferred)

Qualifications:

Bachelor's/Master's in Computer Science, Data Science, AI, or related field.

Skilled certifications (Python, Data Analytics, AI, RPA) preferred.

2+ years of relevant teaching or corporate training experience.

Job Type: Full-time

Benefits:

- Provident Fund

We are seeking a highly skilled and passionate faculty member who can train students in Python programming, Data Science, Data Analytics and AI Automation. The ideal candidate should have both academic teaching experience and industry exposure to effectively bridge the gap between theory and practical application.

Key Responsibilities

Deliver engaging and structured sessions on: Python programming (from basics to advanced), Data Science(AI &ML;), Data Analytics using libraries/tools (Pandas, NumPy, Matplotlib, Power BI/Tableau) AI Automation and applications (automation frameworks, Chatbots, AI APIs)

Design course materials, lesson plans, and practical projects aligned with industry requirements.

Guide students through real-world case studies, capstone projects, and automation workflows.

Stay updated on emerging technologies and incorporate latest trends and tools into training.

Assess student performance and provide feedback for skill improvement. Collaborate with the academic team to develop certification programs and curriculum updates.

Participate in seminars, workshops, and webinars to promote the courses.

Required Skills & Competencies Technical Skills:

Strong command over Python and its data libraries (NumPy, Pandas, Matplotlib, Seaborn, scikit-learn, TensorFlow, or PyTorch).

Strong teaching knowledge in Machine Learning, Deep learning NLP and Generative AI

Experience in Data Analytics tools: Power BI, Tableau, Excel Analytics.

Familiarity with AI automation frameworks like RPA tools (UiPath, Automation Anywhere) or Python-based automation (Selenium, OpenAI API, LangChain).

Teaching Skills: Ability to simplify complex concepts and deliver hands-on, interactive sessions. Strong communication, mentorship, and presentation skills.

Language:

English (Preferred)

Qualifications:

Bachelor's/Master's in Computer Science, Data Science, AI, or related field.

Skilled certifications (Python, Data Analytics, AI, RPA) preferred.

2+ years of relevant teaching or corporate training experience.

Job Type: Full-time

Benefits:

- Provident Fund

We are seeking a highly skilled and passionate faculty member who can train students in Python programming, Data Science, Data Analytics and AI Automation. The ideal candidate should have both academic teaching experience and industry exposure to effectively bridge the gap between theory and practical application.

Key Responsibilities

Deliver engaging and structured sessions on: Python programming (from basics to advanced), Data Science(AI &ML;), Data Analytics using libraries/tools (Pandas, NumPy, Matplotlib, Power BI/Tableau) AI Automation and applications (automation frameworks, Chatbots, AI APIs)

Design course materials, lesson plans, and practical projects aligned with industry requirements.

Guide students through real-world case studies, capstone projects, and automation workflows.

Stay updated on emerging technologies and incorporate latest trends and tools into training.

Assess student performance and provide feedback for skill improvement. Collaborate with the academic team to develop certification programs and curriculum updates.

Participate in seminars, workshops, and webinars to promote the courses.

Required Skills & Competencies Technical Skills:

Strong command over Python and its data libraries (NumPy, Pandas, Matplotlib, Seaborn, scikit-learn, TensorFlow, or PyTorch).

Strong teaching knowledge in Machine Learning, Deep learning NLP and Generative AI

Experience in Data Analytics tools: Power BI, Tableau, Excel Analytics.

Familiarity with AI automation frameworks like RPA tools (UiPath, Automation Anywhere) or Python-based automation (Selenium, OpenAI API, LangChain).

Teaching Skills: Ability to simplify complex concepts and deliver hands-on, interactive sessions. Strong communication, mentorship, and presentation skills.

Language:

English (Preferred)

Qualifications:

Bachelor's/Master's in Computer Science, Data Science, AI, or related field.

Skilled certifications (Python, Data Analytics, AI, RPA) preferred.

2+ years of relevant teaching or corporate training experience.

Job Type: Full-time

Benefits:

- Provident Fund

We are seeking a highly skilled and passionate faculty member who can train students in Python programming, Data Science, Data Analytics and AI Automation. The ideal candidate should have both academic teaching experience and industry exposure to effectively bridge the gap between theory and practical application.

Key Responsibilities

Deliver engaging and structured sessions on: Python programming (from basics to advanced), Data Science(AI &ML;), Data Analytics using libraries/tools (Pandas, NumPy, Matplotlib, Power BI/Tableau) AI Automation and applications (automation frameworks, Chatbots, AI APIs)

Design course materials, lesson plans, and practical projects aligned with industry requirements.

Guide students through real-world case studies, capstone projects, and automation workflows.

Stay updated on emerging technologies and incorporate latest trends and tools into training.

Assess student performance and provide feedback for skill improvement. Collaborate with the academic team to develop certification programs and curriculum updates.

Participate in seminars, workshops, and webinars to promote the courses.

Required Skills & Competencies Technical Skills:

Strong command over Python and its data libraries (NumPy, Pandas, Matplotlib, Seaborn, scikit-learn, TensorFlow, or PyTorch).

Strong teaching knowledge in Machine Learning, Deep learning NLP and Generative AI

Experience in Data Analytics tools: Power BI, Tableau, Excel Analytics.

Familiarity with AI automation frameworks like RPA tools (UiPath, Automation Anywhere) or Python-based automation (Selenium, OpenAI API, LangChain).

Teaching Skills: Ability to simplify complex concepts and deliver hands-on, interactive sessions. Strong communication, mentorship, and presentation skills.

Language:

English (Preferred)

Qualifications:

Bachelor's/Master's in Computer Science, Data Science, AI, or related field.

Skilled certifications (Python, Data Analytics, AI, RPA) preferred.

2+ years of relevant teaching or corporate training experience.

Job Type: Full-time

Benefits:

- Provident Fund

We are seeking a highly skilled and passionate faculty member who can train students in Python programming, Data Science, Data Analytics and AI Automation. The ideal candidate should have both academic teaching experience and industry exposure to effectively bridge the gap between theory and practical application.

Key Responsibilities

Deliver engaging and structured sessions on: Python programming (from basics to advanced), Data Science(AI &ML;), Data Analytics using libraries/tools (Pandas, NumPy, Matplotlib, Power BI/Tableau) AI Automation and applications (automation frameworks, Chatbots, AI APIs)

Design course materials, lesson plans, and practical projects aligned with industry requirements.

Guide students through real-world case studies, capstone projects, and automation workflows.

Stay updated on emerging technologies and incorporate latest trends and tools into training.

Assess student performance and provide feedback for skill improvement. Collaborate with the academic team to develop certification programs and curriculum updates.

Participate in seminars, workshops, and webinars to promote the courses.

Required Skills & Competencies Technical Skills:

Strong command over Python and its data libraries (NumPy, Pandas, Matplotlib, Seaborn, scikit-learn, TensorFlow, or PyTorch).

Strong teaching knowledge in Machine Learning, Deep learning NLP and Generative AI

Experience in Data Analytics tools: Power BI, Tableau, Excel Analytics.

Familiarity with AI automation frameworks like RPA tools (UiPath, Automation Anywhere) or Python-based automation (Selenium, OpenAI API, LangChain).

Teaching Skills: Ability to simplify complex concepts and deliver hands-on, interactive sessions. Strong communication, mentorship, and presentation skills.

Language:

English (Preferred)

Qualifications:

Bachelor's/Master's in Computer Science, Data Science, AI, or related field.

Skilled certifications (Python, Data Analytics, AI, RPA) preferred.

2+ years of relevant teaching or corporate training experience.

Job Type: Full-time

Benefits:

- Provident Fund

We are seeking a highly skilled and passionate faculty member who can train students in Python programming, Data Science, Data Analytics and AI Automation. The ideal candidate should have both academic teaching experience and industry exposure to effectively bridge the gap between theory and practical application.

Key Responsibilities

Deliver engaging and structured sessions on: Python programming (from basics to advanced), Data Science(AI &ML;), Data Analytics using libraries/tools (Pandas, NumPy, Matplotlib, Power BI/Tableau) AI Automation and applications (automation frameworks, Chatbots, AI APIs)

Design course materials, lesson plans, and practical projects aligned with industry requirements.

Guide students through real-world case studies, capstone projects, and automation workflows.

Stay updated on emerging technologies and incorporate latest trends and tools into training.

Assess student performance and provide feedback for skill improvement. Collaborate with the academic team to develop certification programs and curriculum updates.

Participate in seminars, workshops, and webinars to promote the courses.

Required Skills & Competencies Technical Skills:

Strong command over Python and its data libraries (NumPy, Pandas, Matplotlib, Seaborn, scikit-learn, TensorFlow, or PyTorch).

Strong teaching knowledge in Machine Learning, Deep learning NLP and Generative AI

Experience in Data Analytics tools: Power BI, Tableau, Excel Analytics.

Familiarity with AI automation frameworks like RPA tools (UiPath, Automation Anywhere) or Python-based automation (Selenium, OpenAI API, LangChain).

Teaching Skills: Ability to simplify complex concepts and deliver hands-on, interactive sessions. Strong communication, mentorship, and presentation skills.

Language:

English (Preferred)

Qualifications:

Bachelor's/Master's in Computer Science, Data Science, AI, or related field.

Skilled certifications (Python, Data Analytics, AI, RPA) preferred.

2+ years of relevant teaching or corporate training experience.

Job Type: Full-time

Benefits:

- Provident Fund