AIML

Job Title: Sr. Manager – AI/ML (Generative AI, Agentic & LLM/VLM Technologies)

Experience:  8 to 14 years

Location:  Noida / Bangalore / Pune /Gurgaon

Department:  Artificial Intelligence / Machine Learning / Emerging Technologies

 

Job Summary:

We are looking for a visionary and technically hands-on  Sr. Manager  to lead strategic AI/ML initiatives focused on  Generative AI ,  LLMs/VLMs , and  Agentic Technologies . This role blends deep technical proficiency with project management, driving the development and deployment of next-generation AI systems across the organization.

 

Key Responsibilities:

Project & Stakeholder Management:

• Gather and translate business requirements into AI/ML solutions.
• Manage project timelines, resources, and deliverables across cross-functional teams.
• Communicate progress, challenges, and opportunities to senior stakeholders and executives.
• Foster a culture of innovation, experimentation, and continuous improvement.
• Provide technical direction, mentorship, and career development support.

Technical Execution & Innovation:

• Design, fine-tune, and deploy LLMs and VLMs  for domain-specific and general-purpose use cases.
• Build and operationalize  Agentic AI systems  that leverage 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.

 

Key Skills & Experience:

• 8–14 years  of experience in AI/ML.
• Proven track record in  LLM/VLM fine-tuning , deployment, and real-world implementation.
• Deep expertise in  Agentic AI technologies , autonomous agents, multi-agent systems, 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.