ZeTheta Algorithms (www.zetheta.com) is a Fin Tech start-up which has been recently set up and is developing innovative AI tools. https://www.instagram.com/zetheta.official/
About the Role
We give a chance to every talented and motivated student/ fresher intern to develop AI models from scratch within a 2-month timeframe and show case their talents. 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.
Application Process
Join us through online enrolment through this link https://www.zetheta.com/linkedin-apply/ and simply submit your updated CV. We do not conduct any interview or assessment. All motivated early career talent are welcome to take up the role to show case their skills.
Responsibilities
- Design and implement 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
No experience required.
Preferably a student currently pursuing or a fresh graduate who has recently completed a degree in Computer Science, AI/ML, or a related field.
Required Skills (use of all LLMs permitted)
Strong programming skills in Python and Java Script. Understanding of React.js for frontend development and Node.js for backend. Knowledge of FastAPI or similar Python web frameworks. Familiarity with database design and SQL, particularly PostgreSQL with Supabase. Deployment on AWS with CI/CD pipelines and manual environment in EC2 and S3. Understanding of basic machine learning concepts. Self-motivated with ability to work independently.
Preferred Skills (use of all LLMs permitted)
Sound knowledge of AI/ML libraries including Tensor Flow, Keras, and Hugging Face 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 on AWS.
Who Should Apply
Student or fresh graduate from any academic discipline. Strong analytical and problem-solving skills. Willingness to self-learn and work in a quick-paced environment.
Internship Details
Duration: Self-paced. Options of 15 days or 1, 2, 3, 4, or 6 months.