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 AIdriven 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 Strong understanding of MLOps data pipelines ETL processes and performance tuning 10 Good to have Banking domain experience with GenAI use case implementations