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Tier-1 brand, metro location, popular AI role and broad skillset increase applicant competition.
Requires domain-specific ML/LLM production engineering, so background transferability across industries is limited.
Explicit 3+ years plus mandatory production ML, Python, frameworks, cloud, and observability requirements create strict filters.
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Build, deploy, and maintain production-grade AI/ML applications supporting core business workflows with measurable value.
Collaborate with Data Scientists, engineers, product partners, and security teams to translate business problems into scalable AI solutions.
Ensure AI applications meet enterprise standards for security, reliability, maintainability, and operational readiness.
4-year degree or equivalent experience.
3+ years of hands-on software engineering experience, including production system development or support.
Experience developing AI/ML applications using Python and frameworks like PyTorch, TensorFlow, LangChain, or similar.
Not explicitly mentioned: Notice period or strict location requirements.
Proven ability to independently deliver well-tested AI systems integrating model APIs, prompt orchestration, and retrieval-augmented generation.
Strong understanding of AI system design, performance optimization, and production deployment constraints.
Experience working in cross-functional teams with Data Scientists, product and platform stakeholders to deliver practical AI solutions.