
Python Developer
7 days ago
About Cient:
Our client is one of the world's fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems.They helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.Powering this growth is our clients talent cloud—an AI-vetted pool of 4M+ software engineers, data scientists, and STEM experts who can train models and build AI applications. All of this is orchestrated by ALAN—our AI-powered platform for matching and managing talent, and generating high-quality human and synthetic data to improve model performance. ALAN also accelerates workflows for model and agent evals, supervised fine-tuning, reinforcement learning, reinforcement learning with human feedback, preference-pair generation, benchmarking, data capture for pre-training, post-training, and building AI applications.
Job Title: Python /FastAPI Developer
Location: Pan India
Experience: 3+ yrs
Job Type : Contract to hire
Notice Period:- Immediate joiner
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).
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
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