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Metro hiring for a popular ML title but with niche LLM/RAG skills and specific techs moderates competition.
Role requires specialized LLM/RAG expertise and tooling, moderately transferable across industries with ML maturity.
Explicit 6+ years and mandatory LLM, RAG, pgvector, CI/CD, and evaluation requirements increase filter strictness.
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Design, develop, and deploy enterprise-grade AI/ML applications focusing on LLMs, Retrieval-Augmented Generation (RAG), and NLP techniques.
Lead technical audits, optimize retrieval systems, and build automated AI evaluation frameworks integrated into CI/CD pipelines.
Provide technical leadership through code reviews and mentoring to deliver scalable, reliable AI products.
Bachelor's or Master's degree in Computer Science, AI, Machine Learning, Data Science, or related field.
Minimum 6 years of experience in Machine Learning, NLP, Generative AI, or related domains.
Proficiency in Python, experience with RAG architectures, hybrid retrieval (BM25, vector databases, semantic search), and AI evaluation frameworks like RAGAS.
Experience with Azure DevOps, CI/CD pipelines, quality gates, and conducting code reviews while mentoring engineering teams.
Strong expertise in building and optimizing large-scale AI systems using modern retrieval and LLM technologies.
Experienced leader capable of driving technical audits, improving system KPIs, and integrating AI evaluation in DevOps workflows.
Comfortable working in cross-functional teams at a global scale with focus on engineering quality, scalability, and reliability.