Roles & Responsibilities
Develop and maintain Python-based data pipelines, machine learning scripts, and backend workflows.
Design and implement RESTful APIs and microservices using FastAPI or Flask to serve AI/ML models.
Work with ORMs (SQLAlchemy) and relational databases (MySQL/PostgreSQL) for data ingestion and management.
Optimize SQL queries, data preprocessing tasks, and model inference speed. Implement logging, unit testing, and error-handling best practices across AI services.
Write clean, modular, and testable Python code following industry standards.
Collaborate with senior data scientists, frontend engineers, and QA teams on product integrations.
Troubleshoot application bugs, data quality issues, and model performance bottlenecks.
Skills Required
Strong foundation in Core Python (data structures, object-oriented programming, and control flow).
Proficiency in foundational data science libraries (NumPy, Pandas, Scikit-Learn) and exposure to deep learning frameworks (PyTorch or TensorFlow).
Understanding of RESTful API development using web frameworks like FastAPI or Flask. Basic knowledge of SQL, relational databases (MySQL/PostgreSQL), and database design concepts.
Familiarity with version control systems (Git/GitHub) and package management tools (Pip/Conda).
Basic understanding of authentication mechanisms (OAuth2, JWT, or API keys) for securing endpoints.
Pay: ₹8,000.00 - ₹15,000.00 per month
Benefits:
- Paid sick time
- Paid time off
Work Location: In person
