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Tier-1 brand, mid-level ML role, metro location, and broad GenAI skillset increase applicant competition.
Deep NLP and GenAI specialization with enterprise governance focus limits cross-industry transferability.
Explicit 5+ years NLP requirement plus mandatory GenAI, frameworks, and production/cloud skills make shortlisting stringent.
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Lead end-to-end development and deployment of NLP/GenAI models and AI platform capabilities including MCP servers and agentic solutions.
Design, build, and maintain scalable ML pipelines and systems with monitoring, logging, and automated scaling or healing.
Collaborate cross-functionally to translate business needs into production-grade AI applications; mentor junior engineers and set ML lifecycle standards.
Bachelor's degree or higher in Computer Science, Math, Computational Linguistics, Computer Engineering or related field.
5+ years professional experience in NLP with strong Python skills and familiarity with frameworks like Spacy and Hugging Face.
Proven experience in delivering full ML lifecycle NLP applications and building scalable backend microservices on AWS.
Experience with GenAI frameworks (TensorFlow, PyTorch), LLMs, embedding models, and proficiency in at least one programming language such as Python or Go.
Experienced in building enterprise-grade AI/ML solutions with strong governance and compliance awareness.
Skilled in collaborating across business and technical teams to convert complex requirements into scalable AI products.
Comfortable leading technical standards, mentoring engineers, and driving production readiness including monitoring and troubleshooting ML systems.