Generative AI

Generative AI Practice Head

Location: Pune, Maharashtra (Hybrid)
Experience: 7-10 years

About the Role

Generative AI Practice Head

Key Responsibilities

• Lead the

  design, development, and deployment

  of state-of-the-art generative AI systems.
• Stay ahead of the curve by

  evaluating and adopting cutting-edge AI research

  (e.g., NeurIPS, CVPR, ICLR).
• Serve as the

  authority and visionary

  for the company’s generative AI direction.
• Architect and optimize

  production-grade AI models

  using transformers, GANs, and diffusion models.
• Ensure

  performance, scalability, and security

  of deployed solutions, leveraging distributed platforms.
• Build and fine-tune

  large-scale multimodal AI models

  for NLP, computer vision, or cross-domain tasks.
• Implement

  Responsible AI principles

  —mitigating bias, enhancing explainability, and ensuring fairness.
• Act as a

  bridge between research and product teams

  , ensuring smooth integration of AI capabilities.
• Mentor junior engineers, foster

  cross-functional collaboration

  , and shape the organization’s AI roadmap.

Required Skills & Qualifications

• Master’s or PhD in

  AI/ML, Computer Science, or related fields

  .
• Proven expertise in

  transformer architectures, GANs, and diffusion models

  .
• Strong programming experience in

  Python, TensorFlow, JAX, PyTorch

  .
• Hands-on experience with

  distributed training and scalable deployment

  .
• Solid foundation in

  NLP, computer vision, or multimodal AI applications

  .

Good to Have

• Experience with

  Google Cloud Platform (GCP)

  and related AI services.
• Research

  publications or patents

  in top-tier AI conferences/journals.
• Contributions to

  open-source AI libraries

  (e.g., HuggingFace, TensorFlow, Diffusers).
• Familiarity with

  AI ethics frameworks

  and tools like Fairness Indicators, Explainable AI (XAI).