Gen AI Engineer

About Us

Pandita AI Inc is a leading innovator in the field of machine learning, dedicated to creating cutting-edge products that redefine how industries and individuals leverage data and artificial intelligence technologies.

We are looking for a Generative AI Applied Scientist to join our core research team in Mysore. This is a high-impact, high-ownership role for those who thrive at the intersection of deep research, problem discovery, and real-world deployment.

Key Responsibilities

• Proactively identify high-value problem areas where generative AI can deliver measurable impact.
• Translate ambiguous or emerging needs into well-defined ML tasks and deliver production-grade solutions.
• Design and develop custom generative models (e.g., Transformers, LLMs, Diffusion Models, VAEs).
• Own the end-to-end lifecycle of model development from prototyping to cloud/API deployment.
• Good communication skills that involve being able to talk to customers, identify problem statements, and communicate impactful results.
• Collaborate across research, product, and engineering teams to embed generative AI into vertical solutions.

Required Qualifications

• PhD or Masters Thesis with 3+ years in Computer Science, Machine Learning, AI, or a closely related field.
• Strong research track record with publications in top-tier conferences (e.g., IEEE TPAMI, CVPR, ICML, ICLR, NeurIPS, ACL).
• Expertise in deep generative models, representation learning, and probabilistic methods.
• Experience in building models that solve real-world problems and can be scaled into production systems.
• Fluency in Python and modern ML stacks (e.g., PyTorch, JAX, Hugging Face).
• Willingness to work onsite in Mysore and collaborate across time zones with the US-based HQ.
• Involves travel about 25-50% to client locations.

Preferred Qualifications

• Experience in LLM fine-tuning, multimodal systems, or diffusion-based generation.
• Familiarity with retrieval-augmented generation, causal inference, or workflow agents.
• Experience deploying models via Docker, ONNX, or cloud-native APIs (AWS/GCP).
• A track record of discovering novel application areas and developing first-of- their-kind solutions.

What We Offer

• A fast-paced startup environment backed by cutting-edge research and global customers.
• ESOPs/Equity and competitive compensation.
• Access to high-performance compute (A100s, H100s), internal datasets, and modern MLOps tooling.
• Clear runway for career growth, technical leadership, and IP ownership.
• A collaborative and ambitious team working on some of the most important problems in applied AI- from Mysore and Palo Alto.

How to Apply

Apply on Linkedin with a brief note on your research and impact, and links to relevant publications, GitHub, or demos.