About the job

Experience : 7 to 10 years

Location : Pune Maharashtra (Hybrid)

Role Description :

Evonence is looking for Generative AI practice head to drive end-to-end AI solution development from architecture and model training to responsible deployment and mentorship. The role balances research, engineering, and leadership, making it ideal for someone with a strong academic background and hands-on experience in production-level AI systems.

Key Responsibilities :

- Lead AI initiatives and drive innovation in generative models.

- Evaluate and adopt cutting-edge AI trends (e.g., from academic papers, NeurIPS, CVPR).

- Be a go-to authority for generative AI direction.

- Design production-grade AI systems using frameworks like transformers, GANs, or diffusion models.

- Focus on performance, scalability, and security, suggesting deployment on distributed platforms.

- Build and fine-tune large-scale models.

- Embed Responsible AI practices : mitigate bias, improve transparency.

- Act as a bridge between research and product teams.

- Mentor junior engineers, encourage cross-team collaboration, and shape internal AI strategy.

Required Skills :

- Advanced degree (PhD or Master's) in AI/ML or related fields.

- Expertise in transformer architectures, GANs, diffusion models.

- Experience with Python, TensorFlow, JAX, and distributed computing.

- Solid grasp of natural language processing, computer vision, or multi-modal AI.

Good to Have :

- Experience on Google Cloud Platform (GCP).

- Publications or patents in top-tier AI venues.

- Contributions to open-source tools like HuggingFace Transformers, TensorFlow, or Diffusers.

- Knowledge of AI ethics frameworks and tools like Fairness Indicators, Explainable AI (XAI).