Senior AI Platform Engineer
Core
Building and maturing the infrastructure that powers machine learning and generative AI capabilities, including end-to-end training pipelines and production agentic applications.
Role type
Senior AI Platform Engineer (MLOps/Infrastructure)
Builds
End-to-end ML training pipelines, production agentic applications, and the architectural evolution of the ML platform.
Domain
Cloud-native ML infrastructure and Generative AI
Deliverable
production ML models | infrastructure
Required skills
Python, CI/CD pipelines, infrastructure-as-code, containerization, AWS (SageMaker, Bedrock, Bedrock AgentCore), MLOps tooling, LLM operationalization, agent orchestration, RAG architectures, ML frameworks (PyTorch, TensorFlow, Spark), concept drift monitoring.
Preferred skills
Go, JavaScript, GCP (Vertex AI), Scikit-Learn.
Technologies
AWS SageMaker, Amazon Bedrock, Bedrock AgentCore, EKS, Step Functions, PyTorch, TensorFlow, Spark, Scikit-Learn.
Responsibilities
Architect and maintain end-to-end ML training pipelines; Build and maintain infrastructure for production agentic applications; Implement AI/ML governance best practices; Partner with data scientists to operationalize ML models; Mentor junior engineers and create internal tooling.
Seniority
Senior, hands-on IC
