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Metro Gurgaon location and mid-level experience increase competition, but niche GenAI skills moderate density.
GenAI/NLP engineering skills transfer across industries but require specialized MLOps and governance knowledge.
Explicit 5+ years plus mandatory GenAI/NLP experience and detailed tech stack create strict shortlisting filters.
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Design, develop, train, fine-tune, and deploy Generative AI and NLP models, including LLMs, across cloud platforms with CI/CD pipeline integration.
Lead implementation and governance of AI models ensuring compliance with data privacy, model security, and AI risk management.
Mentor junior engineers and collaborate with cross-functional teams to translate business needs into scalable, production-ready AI solutions.
5+ years experience in AI/ML/Data Science with at least 3 years in Generative AI/NLP.
Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related field.
Proficiency in Python and hands-on experience with LLMs, Retrieval-Augmented Generation (RAG) pipelines, vector databases, and deploying AI models on cloud platforms (AWS, Azure, or GCP).
Experience working with AI model governance, data privacy, security, and version control (Git).
Experienced in designing scalable, secure GenAI solutions within regulated or governance-focused environments.
Skilled in MLOps practices including CI/CD for AI workflows, model monitoring, and operational efficiency improvements.
Able to lead, mentor, and align AI initiatives with business impact while staying current with AI/ML trends and technologies.