Senior Machine Learning Engineer
Core
Design and implement AI/ML & GenAI solutions to enhance a Supply-Chain-focused Data Integration Platform, specifically building a multi-agent AI system for data navigation and automation.
Role type
Senior Machine Learning Engineer (GenAI & Agentic AI)
Builds
Pathfinder (multi-agent AI system), scalable microservices for data mapping/transformation, event-driven data pipelines, RESTful/GraphQL APIs.
Domain
Supply Chain, Data Integration, Generative AI
Deliverable
production ML models | product features | infrastructure
Required skills
GenAI with LLMs, NLP, and agentic AI (multi-agent orchestration, MCP, A2A), PyTorch, MLOps, Python (microservices, event-driven), RESTful/GraphQL APIs, AWS/Azure ML services, CI/CD, Infrastructure-as-Code (Terraform, Pulumi).
Preferred skills
None explicitly stated.
Technologies
PyTorch, MCP, A2A, SageMaker, Bedrock, Azure ML, GitHub Enterprise, Terraform, Pulumi.
Responsibilities
Develop Pathfinder multi-agent AI system, define/implement scalable microservices for data integration, develop/maintain APIs, create/optimize event-driven pipelines, evaluate/select tools, collaborate with customers/stakeholders.
Seniority
Senior, hands-on IC
