Back
Niche senior ML/AI role with PLM requirement at a known consulting firm and metro location, moderate competition.
Strong PLM and engineering domain integration reduces cross-industry transferability, indicating high domain specificity.
Explicit 8–10 years plus mandatory PLM, production ML and MLOps experience creates high filtering stringency.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design and implement enterprise AI/ML and Generative AI solutions, including LLM-based applications, AI agents, RAG pipelines, and intelligent automation.
Lead AI solution deployment on cloud environments such as GCP, ensuring secure, scalable, and high-availability AI infrastructure.
Optimize AI model performance, establish MLOps, CI/CD, monitoring and governance frameworks; mentor technical teams and support AI integration with PLM systems.
8-10 years total work experience in AI/ML solution architecture and deployment.
Must have worked on production-grade agentic AI application in PLM (Product Lifecycle Management) context.
Proficiency in Python and AI frameworks such as PyTorch, TensorFlow, Scikit-learn, LangChain; knowledge of enterprise cloud infrastructure, preferably GCP.
Bachelor's degree in BE/B.Tech or equivalent engineering qualification.
Experienced in enterprise AI architecture with specific focus on Generative AI, LLMs, and agentic AI solutions for PLM environments.
Demonstrates leadership in deploying scalable AI solutions across cloud platforms with cross-functional collaboration (engineering, DevOps, security, business).
Familiar with PLM systems (at least one of 3DX, Siemens Teamcenter, PTC Windchill, Dassault ENOVIA, ARAS INNOVATOR) and understands engineering/manufacturing/product lifecycle processes.