Job Overview

responsive is looking for an ml engineer with a strong background in python, nlp, structured and unstructured data, and basic understanding of ml and dl algorithms/frameworks. the ideal candidate will have a bachelor's degree in any quantitative discipline, such as engineering, computer science, it, or statistics. the ml engineer should be familiar with linux and git and have strong problem-solving and analytical skills. additionally, the candidate should have a good understanding of mathematics.

essential responsibilities

• to develop and implement ml models and algorithms that improve the company's products and services.
• to work with large datasets to analyze, model, and interpret data.
• to create and optimize nlp models to extract meaningful insights from unstructured text data.
• to collaborate with cross-functional teams to identify and solve complex business problems.
• to continuously monitor and improve the performance of ml models.
• to develop and maintain ml codebase, including version control using git.

education

bachelor's degree in any quantitative discipline, such as engineering, computer science, it, or statistics.

experience

• 4-6 years of experience in machine learning
• proficiency in python is a must

knowledge, ability & skills

• comfortable with nlp techniques.
• basic understanding of ml and dl algorithms/frameworks.
• familiarity with linux and git.
• good problem-solving and analytical skills.
• good understanding of mathematics.