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Known global brand, mid-level ML role, and metro location create high applicant competition.
Requires specialized ML, LLM, and MLOps experience, limiting cross-industry transferability.
Explicit 5–7 years plus required ML, LLM, MLOps, and vector DB experience tightens shortlisting.
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Lead design and development of scalable AI/ML systems powering search and Context Graph capabilities across Autodesk Industry Clouds.
Drive model evaluation frameworks, scalable inferencing pipelines, and AI automation workflows to ensure low latency, high reliability, and cost efficiency.
Mentor junior engineers, define AI/ML technical direction and best practices, and collaborate with cross-functional teams including Product and Engineering Managers.
5-7 years experience building and running ML or AI-powered systems.
BS or MS in Computer Science, Machine Learning, related field, or equivalent experience.
Strong proficiency in Python for ML engineering; familiarity with Java or other backend languages.
Experience with large language model (LLM) applications (e.g., RAG architectures), MLOps platforms, vector databases, and AWS cloud AI services.
Experienced in end-to-end AI/ML integration including model training, evaluation, inference, and production deployment at scale.
Capable of defining AI/ML engineering standards and leading development of complex, scalable ML-powered search and recommendation systems.
Familiar with Context Graph technologies, graph databases, AI evaluation benchmarks, and multi-agent AI system orchestration.