AI ML Engineer
Optum (company site, opens in a new tab)GurugramOn-siteDirect career pageEst. 20–40 LPA
Posted on 31 Aug
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Job description
Structured overview of role & requirements
About This Role
- Lead and coordinate 5-6 member cross-location teams for delivering AI/ML application solutions.
- Design, build, deploy, and maintain scalable AI-powered applications ensuring end-to-end ownership and application performance optimization.
- Serve as Subject Matter Expert (SME) overseeing architecture, design reviews, stakeholder alignment, and delivery quality using Agile practices.
Minimum Requirements
- Bachelor's or Master’s degree in Computer Science, Data Science, Statistics or related field with minimum 16 years formal education; correspondence courses not accepted.
- Experienced in building and deploying AI/ML applications using Python, NumPy, Pandas, PyTorch, TensorFlow, FastAPI, and GenAI frameworks including LangChain, LangGraph, and Pydantic.
- Proficient with deep learning algorithms (ANN, CNN, RNN, LSTM, VAE, GPT), exploratory data analysis, model evaluation, and performance metrics.
- Skilled in CI/CD tools (Jenkins/GitHub), container orchestration (Kubernetes), infrastructure as code (Terraform), Azure cloud, SQL/NoSQL databases, and designing agentic architectures with design patterns and MCPs.
Ideal Candidate Profile
- Experienced technical lead capable of managing multi-location teams and delivering enterprise AI/ML solutions end-to-end with accountability.
- Strong domain expertise in AI/ML development lifecycle including model design, deployment, evaluation, and system scalability considerations.
- Practiced in Agile methodologies and effective stakeholder communication to influence alignment and execution in complex environments.