Python/Fast API Development Lead

3 semanas atrás

Índio do Brasil Vintti Tempo inteiro

Salary : 2500 - 3000 usd

Location: Remote

Commitment Required: Full availability (8 hrs/day) with at least 4 hours overlap with PST (8pm–12pm IST)

Mandatory Skills: Python, FastAPI, RESTful APIs, asynchronous programming, software engineering best practices, team leadership, automated testing, CI/CD pipelines, Git, scalable design patterns

Role Overview

We are looking for a highly skilled Python/FastAPI Development Lead to join an exciting Reinforcement Learning (RL) Gym project.

You will help architect scalable APIs, enhance backend performance, and collaborate with ML researchers to power cutting-edge RL experiments and simulations.

No prior RL Gym experience is required, but it's definitely a plus

High-impact role

Scalable systems & performance

Cross-functional collaboration

Responsibilities

- Design, build, and maintain FastAPI services that support experimentation workflows and RL simulation environments
- Collaborate closely with ML engineers to expose APIs for training, evaluation, and benchmarking
- Write clean, scalable, production-ready Python code with strong emphasis on maintainability
- Troubleshoot performance issues, optimize pipelines, and ensure smooth application deployments

Required Skills

- 3+ years of experience in Python development, including 2+ years of hands-on FastAPI work for high-performance backends
- 1+ year of team leadership experience mentoring teams of 5+ developers
- Strong ability to review code, give constructive feedback, and maintain high coding standards through PR merges
- Excellent ownership mindset with proven ability to identify risks early and manage end-to-end delivery
- Expert-level FastAPI knowledge (Flask/Django helpful but not a substitute)
- Strong background designing RESTful APIs, asynchronous programming, and managing full API lifecycles
- Solid understanding of engineering best practices including test automation, CI/CD, Git workflows, and scalable architecture patterns
- Familiarity with NumPy and Pandas; exposure to TensorFlow or PyTorch is a plus
- Nice-to-have familiarity with Reinforcement Learning environments (OpenAI Gym, Gymnasium, Stable Baselines)
- Bachelor's or Master's degree in Computer Science, Engineering, or related field

Nice to Have

- Experience working with RL environments (OpenAI Gym, Gymnasium, Stable Baselines)
- Exposure to deep learning frameworks such as PyTorch or TensorFlow
- Hands-on experience with SQL or database design for data-driven applications
- Background in cloud technologies (AWS, GCP, Azure) and containerization (Docker, Kubernetes)

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