AI / ML Platform Engineer Specialist

Key Responsibilities: Design, build, and maintain the MLOps platform enabling scalable, reproducible, and observable ML and GenAI workflows. Develop and manage core ML infrastructure —feature stores, model registries, CI/CD and data pipelines—using 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 stack—frameworks, 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.