Strategic AI/ML Director

21 hours ago

Noida, Uttar Pradesh, India beBeeAgentic Full time ₹ 27,00,000 - ₹ 32,40,000
AI/ML Lead: Driving Strategic Initiatives
Job Overview

We are seeking a seasoned AI/ML professional to spearhead strategic initiatives focused on Generative AI, LLMs/VLMs, and Agentic Technologies.


Key Responsibilities:
  • Leadership & Team Management
    • Lead high-performing teams of AI/ML engineers and data scientists.
    • Foster innovation, experimentation, and continuous improvement.
    • Provide technical direction, mentorship, and career development support.
  • Project & Stakeholder Management
    • Gather business requirements for AI/ML solutions.
    • Manage project timelines, resources, and deliverables across cross-functional teams.
    • Communicate progress, challenges, and opportunities to senior stakeholders and executives.
  • Technical Execution & Innovation
    • Design, fine-tune, and deploy LLMs and VLMs for domain-specific use cases.
    • Build and operationalize Agentic AI systems leveraging autonomous agents capable of reasoning, planning, and interacting with users, environments, and other agents.
    • Develop and implement Agentic Technology frameworks, including task orchestration, memory management, and multi-agent collaboration.
    • Leverage the NVIDIA stack (CUDA, TensorRT, Triton Inference Server, etc.) for high-performance model training and deployment.
    • Build scalable ML pipelines and inference services using Python, PyTorch, TensorFlow, HuggingFace, and similar frameworks.
  • Research & Thought Leadership
    • Stay current with cutting-edge research in Generative AI, LLMs/VLMs, Agentic Systems, and AI Infrastructure.
    • Drive PoCs and pilot programs to evaluate new technologies and their business impact.
    • Represent the AI function in strategic discussions, product roadmaps, and technology planning.

Requirements
  • 12–16 years of experience in AI/ML, with a minimum of 5 years in a leadership role.
  • Proven track record in LLM/VLM fine-tuning, deployment, and real-world implementation.
  • Deep expertise in Agentic AI technologies, autonomous agents, multi-agent systems, Observability, MCP/A2A, and decision-making architectures.
  • Strong background in Generative AI, including prompt engineering, RAG, and synthetic data generation.
  • Hands-on experience with NVIDIA AI stack (CUDA, TensorRT, Triton, etc.) for optimized training/inference workflows.
  • Strong proficiency in Python, with practical experience using ML frameworks like PyTorch, TensorFlow, HuggingFace Transformers.
  • Excellent communication and stakeholder management skills.

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