Generative AI

2 days ago

Pune, Maharashtra, India Bean Hr Consulting Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Generative AI Practice Head

Location: Pune, Maharashtra (Hybrid)

Experience: 7-10 years

About the Role

Evonence is seeking a Generative AI Practice Head to spearhead its AI initiativesdriving innovation, shaping strategy, and delivering production-ready generative AI solutions. This leadership role requires a blend of deep research expertise, hands-on engineering skills, and team mentorship capabilities.

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).

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