Senior AI/ML Engineer - Python,LLM's, MachineLearning, DeepLearning, BigDataAnalytics
Optum (company site, opens in a new tab)8+ yrsGurugramOn-siteDirect career pageEst. 30–48 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Own end-to-end design and delivery of AI/ML solutions including problem framing, model development, deployment, and support.
- Build and optimize machine learning models including large language models, generative AI, and related AI agents; design scalable REST APIs and integrate with front-end workflows.
- Lead architecture decisions, ensure responsible AI practices, oversee MLOps/LLMOps processes, and mentor engineering teams for delivery excellence.
Minimum Requirements
- Bachelor's or Master's degree in Computer Science, AI, ML, Data Science, Engineering, or related technical field.
- 8+ years of software engineering experience with significant hands-on AI/ML solution delivery and technical leadership.
- Proficiency in Python, deep learning frameworks (PyTorch/TensorFlow), AI/ML libraries (scikit-learn, pandas, NumPy), and experience with large language models and generative AI techniques.
- Experience with designing secure REST APIs (FastAPI, Flask), cloud AI platforms (e.g. Microsoft Azure), SQL/NoSQL databases, CI/CD, monitoring scalable model workloads, and MLOps practices.
Ideal Candidate Profile
- Experienced technical leader capable of decomposing complex AI/ML problems and managing technical delivery with cross-functional teams.
- Strong background in building production-grade, scalable AI systems including generative AI and secure API design, with hands-on Python and cloud platform expertise.
- Demonstrates strategic focus on responsible AI implementation, model governance, and integration of AI workflows in enterprise health technology environments.