Responsibilities
1 Design develop and deploy advanced Generative AI models LLMs diffusion models for enterprise applications
2 Finetune pretrained models for domainspecific 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 TensorFlowPyTorch and experience with cloud platforms AWSAzureGCP containerization DockerKubernetes and CICD pipelines
9 Robust understanding of MLOps data pipelines ETL processes and performance tuning
10 Positive to have Banking domain experience with GenAI use case implementations

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📌 Data Scientist Maharashtra (India)
🏢 LTM
📍 India