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Job Title:

Gen AI Engineer

Company: Pandita AI Inc

Location: Mysore, Karnataka

Created: 2026-01-31

Job Type: Full Time

Job Description:

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

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