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Metro location and strong global brand increase applicant density despite niche GenAI specialization.
GenAI and ML engineering skills are broadly transferable, though enterprise LLM experience slightly favors similar industries.
Explicit 7+ years requirement plus mandatory AIML, LLM and framework experience enforces strict shortlisting.
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Lead design and delivery of AI/ML solutions including Generative AI and Agentic AI systems for enterprise applications.
Own stakeholder engagement, solution architecture, and end-to-end delivery using Agile/Scrum methodologies.
Develop and deploy machine learning models and maintain AI pipelines with production-grade Python code and AI orchestration frameworks.
Bachelor's Degree in Computer Science, Mathematics, or related field.
7+ years IT technical experience with at least 2 years in senior or lead roles.
Proven experience in Agile/Scrum project planning and delivery.
Hands-on expertise in AI/ML libraries (Scikit-learn, PyTorch, TensorFlow), Generative AI frameworks (LangChain, LangGraph), and LLM platforms (Azure OpenAI, AWS Bedrock, Google Vertex AI).
Experienced independent contributor capable of leading complex AI/ML architecture and stakeholder communication.
Strong background in Generative AI and Agentic AI with capability in multi-agent workflow automation.
Familiar with CI/CD, Agile development environments, and using AI developer tools to accelerate production code readiness.