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Tier-1 brand, metro location, mid-level AI/ML role with broad required skills increases competition.
Specialized ML infra and LLM experience is transferable across industries but favors ML-focused backgrounds.
Explicit 2–4 years ML systems requirement plus specific ML/infra tech mandates strict filtering.
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Build and maintain ML model evaluation frameworks and inferencing pipelines for AI-powered search and Context Graph systems.
Develop AI automation workflows and integrate AI/ML capabilities into scalable distributed microservices across Autodesk Industry Clouds.
Collaborate with engineering and SRE teams to design technical solutions, ensure SLA compliance, and manage production incidents in AI/ML services.
Bachelor's or Master's degree in Computer Science, Machine Learning, or related field.
2-4 years of experience building and running ML systems or AI-powered applications.
Proficiency with Python, experience with LLM APIs, vector databases (e.g., Pinecone, Weaviate, pgvector), and AWS cloud services (e.g., SageMaker, Lambda, ECS).
Familiarity with ML frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers.
Experienced in deploying AI/ML models at scale with emphasis on low latency and high reliability in distributed systems.
Skilled in working across engineering, SRE, and product teams to operationalize AI/ML solutions and meet production SLAs.
Possesses knowledge of retrieval-augmented generation architectures, Context Graph technologies, and AI evaluation frameworks.