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.

Skills Required
Packaging, Machine Learning, Computer Science, Product Engineering, Automation, Printing