Software Engineer

About the Role

ZeTheta Algorithms is a FinTech start-up developing innovative AI tools.

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.

Key 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.

Requirements & Tech Stack

• 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

• 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.

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.
• 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.