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Senior, niche agentic AI plus PLM requirement reduces applicant density despite Bangalore location.
Highly specialized ML/AI skills and PLM integration create strong domain bias and low cross-industry transferability.
Explicit 8–10 years requirement and mandatory production agentic AI and PLM experience make filtering strict.
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Design and implement enterprise AI/ML and Generative AI solutions including LLM-based applications, AI agents, and RAG pipelines.
Lead deployment of AI solutions across cloud environments like GCP ensuring secure, scalable, and high-availability infrastructure.
Establish MLOps, CI/CD, monitoring, and governance for AI solutions while mentoring technical teams and integrating AI with PLM systems and workflows.
8-10 years of total work experience.
Bachelor's degree in BE/BTech required.
Experience with production-grade agentic AI applications on PLM background mandatory.
Strong proficiency in AI/ML solution architecture, deployment, Python, AI frameworks (PyTorch, TensorFlow), and cloud infrastructure (GCP).
Experienced in scalable, distributed AI platforms and production AI management in enterprise settings.
Proven ability to architect and optimize AI solutions with operational responsibility for MLOps and AI infrastructure.
Demonstrated experience integrating AI technologies with Product Lifecycle Management (PLM) systems and engineering workflows.