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).(ref : hirist.tech)