Software Engineer
About the role
About the Company
ZeTheta Algorithms (www.zetheta.com) is a FinTech 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 JavaScript. 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 TensorFlow, Keras, and 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 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 fast-paced environment.
Internship Details
Duration: Self-paced. Options of 15 days or 1, 2, 3, 4, or 6 months.
Certificate: Project Work Experience (circa internship/ externship) Certificate
Type: Unpaid.
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.
Benefits
- Project Work Experience Certificate
Skills mentioned
About Zetheta Algorithms Private Limited
Zetheta Algorithms is a FinTech startup pioneering innovation and research in financial markets through gamified simulations, designed to evolve into full-fledged, enterprise-grade financial models. We offer students and freshers a futuristic view of financial markets while proposing to serve as a WorkBridge platform that can connect them with potential employers through project assessments done by our Agentic AI platform. Our projects are built around the “Invisible Financial Institution” of the future, preparing students to work alongside Agentic AI systems set to transform almost all functional areas in financial markets. Beyond simulations, we are committed to empowering the broader finance community through books curated and published by Zetheta, and are actively developing a Small Language Model (SLM) tailored specifically for financial market participants. With an ever-growing number of students globally engaged through our experiential programs, we bridge the gap between academic knowledge and employability — offering self-paced, remote project work experiences (equivalent to or better than the rigour of an internship or externship) that provide 360-degree practical exposure to entire product development lifecycles, not menial office work. At Zetheta, we don’t just guide students for today’s finance — we prepare them for tomorrow’s world of finance.