
Python - Fast API
3 days ago
Role Overview
We are seeking a Python Developer with strong expertise in FastAPI to join an exciting Reinforcement Learning (RL) Gym project. You will design, build, and optimize scalable APIs, collaborate with researchers and engineers, and deliver high-quality backend services to support reinforcement learning experiments and simulations. Prior RL Gym experience is not mandatory but would be a plus.
What does day-to-day life look like?
- Design, build, and maintain FastAPI-based services for experimentation workflows and simulation environments.
- Collaborate with ML engineers to expose APIs for training, evaluation, and benchmarking.
- Write efficient, production-grade Python code with a strong emphasis on scalability and maintainability.
- Troubleshoot performance issues, optimize pipelines, and ensure smooth deployment of applications.
Requirements
- 3+ years of professional Python development experience.
- Strong knowledge of FastAPI (or equivalent frameworks like Flask, Django, but FastAPI required).
- Experience with REST APIs, async programming, and API lifecycle management.
- Solid understanding of software engineering best practices (testing, CI/CD, version control, design patterns).
- Familiarity with NumPy, Pandas, and PyTorch/TensorFlow is a plus.
- Good to have: Exposure to Reinforcement Learning environments (OpenAI Gym, Gymnasium, Stable Baselines, or custom environments).
- Bachelors or Master's degree in Computer Science, Engineering, or related field.
Perks of Freelancing With Turing
- Work in a fully remote environment.
- Opportunity to work on cutting-edge AI projects with leading LLM companies.
Offer Details
- Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST.
- Engagement Type: Contractor assignment (no medical/paid leave)
- Duration of Contract: 3 months (adjustable based on engagement)
- Location: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Brazil, Mexico
Evaluation Process
- Technical Interview with live coding challenge focused on Python and FastAPI (60 mins)
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