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Niche GenAI skills and senior requirement reduce applicant density despite Gurgaon metro.
GenAI and MLOps skills transfer across industries, but governance and production experience increases fit sensitivity.
Explicit 5+ years and 3+ years GenAI plus mandatory LLM/MLOps skills create high shortlisting strictness.
Design, develop, and deploy Generative AI solutions and autonomous AI workflows on enterprise cloud platforms with measurable business impact.
Lead implementation and governance of AI models within CI/CD pipelines, ensuring compliance with governance, risk, and security requirements.
Mentor junior AI engineers and collaborate cross-functionally to advance enterprise AI initiatives and continuously improve AI delivery.
5+ years experience in AI/ML/Data Science with at least 3 years focused on Generative AI/NLP.
Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related field.
Strong proficiency in Python programming, hands-on experience with LLMs (OpenAI, AWS Bedrock, etc.), RAG pipelines, and cloud AI model deployment (AWS, Azure, or GCP).
Experience with AI model governance, data privacy, security in production, and version control (Git).
Proven ability to build scalable, secure, production-ready AI applications incorporating MLOps and enterprise governance.
Experience working in regulated environments or with governance frameworks for AI deployments.
Operational leadership in mentoring teams and driving cross-functional collaboration to translate business requirements into AI solutions.