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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and deploy advanced AI/ML predictive models and machine learning pipelines to support enterprise forecasting, optimization, and intelligent automation.
Lead production deployment and operationalization of AI solutions using enterprise cloud platforms and APIs, including continuous monitoring and improvement.
Develop generative AI-powered intelligent assistants and agentic AI systems leveraging LLMs, RAG, and modern AI frameworks such as LangChain and AutoGen.
Minimum Requirements
Experience in AI/ML data science with delivery of production-ready models and pipelines; Work Experience Required: Not explicitly mentioned in the JD
Proficiency in Python and enterprise cloud platforms for ML pipeline development and deployment.
Practical experience with generative AI technologies, LLMs, and agentic AI systems including prompt engineering.
Strong quantitative skills in predictive analytics and statistical modeling; Hands-on skills in deploying and monitoring AI solutions.
Ideal Candidate Profile
Experienced AI/ML professional with a track record of developing scalable, production-grade machine learning and generative AI solutions in enterprise environments.
Comfortable working end-to-end on AI projects including problem definition, data engineering, model development, deployment, and monitoring with cross-functional collaboration.
Familiar with modern AI frameworks (LangChain, LangGraph, AutoGen) and advanced AI methods such as RAG and semantic search, with a focus on operational excellence and application reliability.