1. Design develop and deploy advanced Generative AI models LLMs diffusion models for enterprise applications.
2. Finetune pretrained models for domains specific tasks and integrate them into production environments via APIs and microservices.
3. Embed GenAI capabilities into business workflows and collaborate with product teams to deliver AI driven solutions.
4. Optimize inference pipelines for performance scalability and low latency using distributed processing strategies.
5. Ensure compliance with data privacy security and ethical AI standards while implementing robust access controls.
6.
Stay ahead of emerging GenAI technologies and apply techniques like prompt engineering RLHF and multimodal AI.
7. Work closely with data engineers DevOps and cloud architects for seamless deployment and maintain detailed documentation.
8. Demonstrate advanced proficiency in Python Tensor Flow PyTorch and experience with cloud platforms AWS Azure GCP containerization Docker Kubernetes and CICD pipelines.
9. Robust understanding of MLOps data pipelines ETL processes and performance tuning.
10. Good to have Banking domain experience with GenAI use case implementations.
📌 Data Scientist (Pune)
🏢 LTM
📍 Pune
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