about the company
zetheta algorithms private limited () is a fintech start-up which has been recently set up and is developing innovative ai tools.
about the role
we are seeking a talented and motivated student intern to develop ai models from scratch within a 2 month timeframe. this is an extraordinary opportunity for a self-driven, technically skilled student to build a complete enterprise-grade system that incorporates cutting-edge ai technologies including deep learning.
responsibilities
- design and implement the complete ai models following provided specifications
- develop both frontend and backend components of the platform
- create and integrate ai modules
- design and optimize database schema and queries
- ensure system security, especially for sensitive identity verification data
- deploy the solution using zero-cost cloud services
- document code, apis, and system architecture
- complete the entire project within the 2 month timeline
qualifications
a student who is currently pursuing or recently completed a degree in computer science, ai/ml, or related field and is available full time for 2 months.
required skills
- strong programming skills in python and javascript
- experience with react.js for frontend development
- knowledge of fastapi or similar python web frameworks
- familiarity with database design and sql (particularly postgresql)
- understanding of basic machine learning concepts
- self-motivated with ability to work independently
preferred skills
- sound knowledge of ai/ml libraries (tensorflow, keras, huggingface transformers)
- familiarity with computer vision techniques using opencv
- knowledge of natural language processing concepts
- sound knowledge of facial recognition or emotion detection systems
- understanding of identity verification methodologies
- docker containerization experience
- prior work with cloud deployment (aws)
who should apply?
- student of fresh graduate from any academic discipline.
- strong analytical and problem-solving skills.
- basic knowledge of microsoft office.
- willingness to self-learn and work in a fast-paced environment.
internship details
- duration: self paced, option for 1 month or 2 month (within a period of 4 months provided).
- type: unpaid
