Ai / Ml Platform Engineer Specialist Bengaluru (India)

Key Responsibilities: Design, build, and maintain the MLOps platform enabling scalable, reproducible, and observable ML and GenAI workflows. Develop and manage core ML infrastructurefeature stores, model registries, CI/CD and data pipelinesusing AWS services (SageMaker, ECS/EKS, Lambda, Step Functions). Support AI and ML teams with tooling, best practices, and technical guidance for training, fine-tuning, and model deployment. Drive architecture and technology decisions across the ML stackframeworks, orchestration, and monitoring tools. Collaborate with AI engineering teams to integrate LLM and Generative AI capabilities into products using standardized, secure infrastructure. Ensure scalability, reliability, and compliance through DevOps and Infrastructure-as-Code (IaC) best practices. Evaluate and adopt emerging technologies such as LangChain, Ray, MLflow, Kubeflow, Hugging Face to enhance platform efficiency. Key Responsibilities: Design, build, and maintain the MLOps platform enabling scalable, reproducible, and observable ML and GenAI workflows. Develop and manage core ML infrastructurefeature stores, model registries, CI/CD and data pipelinesusing AWS services (SageMaker, ECS/EKS, Lambda, Step Functions). Support AI and ML teams with tooling, best practices, and technical guidance for training, fine-tuning, and model deployment. Drive architecture and technology decisions across the ML stackframeworks, orchestration, and monitoring tools. Collaborate with AI engineering teams to integrate LLM and Generative AI capabilities into products using standardized, secure infrastructure. Ensure scalability, reliability, and compliance through DevOps and Infrastructure-as-Code (IaC) best practices. Evaluate and adopt emerging technologies such as LangChain, Ray, MLflow, Kubeflow, Hugging Face to enhance platform efficiency.