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Niche senior LLM/MLOps role at lesser-known employer in metro Noida reduces applicant competition.
Highly domain-specific Generative AI, LLM fine-tuning, and MLOps skills limit cross-industry transferability.
Explicit 10-14 years, deep LLM/MLOps, cloud, and leadership requirements enforce strict candidate filtering.
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Provide technical leadership and architectural direction for advanced Generative AI and LLM-based applications.
Lead development, orchestration, and deployment of modular AI workflows and production-ready AI systems on AWS/Azure/GCP with MLOps and LLMOps best practices.
Mentor ML/AI engineering teams and act as a key liaison between technical teams and business stakeholders to deliver scalable AI solutions.
Total experience: 10-14 years in AI/ML domain.
Proven expertise in Python, NLP, LLM ecosystem, and agentic frameworks such as LangChain, AutoGen, CrewAI.
Hands-on experience with TensorFlow, PyTorch, FastAPI, container orchestration (Docker, Kubernetes), and cloud platforms (AWS, Azure, GCP).
Experience implementing MLOps/CI-CD pipelines and delivering production-grade ML systems.
Senior technical leader with deep experience in architecting scalable AI/ML solutions leveraging Generative AI and LLM technologies.
Skilled in end-to-end ML pipeline design, modular AI workflow orchestration, and cloud-native deployments.
Track record of mentoring teams and interfacing between business and technical stakeholders to drive AI innovation.