AI/ML Engineer-NLP, Python, Machine learning, RAG, Langchain, etc
Optum (company site, opens in a new tab)5+ yrsGurugramOn-siteDirect career pageEst. 20–40 LPA
Posted on 21 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, deploy, and scale machine learning and generative AI solutions including advanced NLP, LLMs, Retrieval-Augmented Generation, and AI agents for enterprise use cases.
- Optimize AI models and implement MLOps best practices including CI/CD, model versioning, automated testing, and production monitoring ensuring performance, scalability, and reliability.
- Lead technical discussions, collaborate with cross-functional teams, mentor engineers, and establish AI governance and responsible AI principles to drive organizational AI initiatives.
Minimum Requirements
- Bachelor's or Master's degree in Computer Science, AI, Machine Learning, Data Science, Engineering, or related field.
- Minimum 5 years professional experience in developing and deploying AI/ML solutions in enterprise environments.
- Proficiency in Python and experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, LangChain, or Hugging Face.
- Experience developing APIs, microservices, cloud-native applications, and knowledge of CI/CD pipelines, software testing, and secure software development methods.
Ideal Candidate Profile
- Experienced in end-to-end AI/ML solution delivery in enterprise settings with a focus on advanced NLP, LLMs, and generative AI technologies.
- Skilled at bridging technical and business requirements, capable of leading architecture reviews and mentoring engineering teams.
- Knowledgeable in MLOps, responsible AI, model governance, and deploying scalable AI systems in regulated or healthcare-adjacent industries.