* Design, develop, and maintain Python-based AI/ML and GenAI services aligned to product and business needs.
* Build and optimize RESTful APIs using FastAPI/Flask for model inference and GenAI workflows.
* Implement GenAI solutions (prompting, orchestration, evaluation) and integrate them into applications responsibly.
* Develop and maintain ML pipelines for data preparation, training, validation, and inference using NumPy and Pandas.
* Apply MLOps practices to enable reproducible experiments, versioning, CI/CD, monitoring, and reliable deployments.
* Collaborate with stakeholders to translate requirements into technical designs, estimates, and deliverables.
* Write clean, testable code; conduct reviews; and ensure performance, security, and scalability standards are met.
* Troubleshoot production issues, improve observability, and continuously enhance model/service quality.

* B.Tech or equivalent degree in Computer Science, Engineering, or a related field.
* 3-5 years of hands-on experience in Python development for AI/ML or data-driven applications.
* Strong proficiency in Python with practical experience using Pandas and NumPy.
* Experience building and deploying APIs using FastAPI and/or Flask.
* Working knowledge of AI/ML fundamentals and experience delivering ML solutions end-to-end.
* Exposure to MLOps practices for packaging, deployment, and monitoring of ML systems.

Join a team where curiosity meets real-world impact. In this role, you'll build and enhance intelligent Python solutions that bring Generative AI and machine learning into practical, production-ready applications. You'll collaborate closely with product, engineering, and data teams to design APIs, develop models, and deliver scalable services that are reliable, secure, and easy to maintain. If you enjoy turning ideas into working prototypes, refining them into robust deployments, and continuously learning in a fast-moving AI landscape, you'll feel right at home. You'll also contribute to a culture that values clean engineering, thoughtful experimentation, and shared ownership-where your work directly shapes how AI-powered products are built and improved. Location options include Bangalore, Pune, Chennai, and Hyderabad.