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Há 2 dias

Brasilia, Brasil Vintti Tempo inteiro

Salary : 2500 - 3000 usdLocation: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 patternsRole 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 collaborationResponsibilities 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 deploymentsRequired 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 fieldNice 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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