Platform AI / Machine Learning Engineer

Platform AI / Machine Learning Engineer

About the Role

We are seeking an experienced Machine Learning Engineer to design, build, deploy, and scale advanced AI/ML solutions. The ideal candidate will have strong software engineering experience, expertise in cloud-native AI platforms, and hands-on experience building production-grade machine learning, knowledge graph, and agent-based AI solutions.

Platform AI / Machine Learning Engineer

Location: Dearborn, MI

Work Model: Hybrid (4 Days Onsite)

Duration: 12 Months+ Contract

Key Responsibilities

• Design, develop, and deploy machine learning models and AI-driven solutions.
• Build and optimize scalable ML pipelines, architecture, and cloud infrastructure.
• Develop and maintain cloud-native data pipelines and knowledge graph solutions.
• Build and support LLM/Agent-based applications using RAG, embeddings, and grounding techniques.
• Design and operate MCP (Model Context Protocol) services and AI tool integrations.
• Deploy, monitor, retrain, and manage ML models using MLOps practices.
• Implement CI/CD/CT pipelines for ML and AI workloads.
• Partner with cross-functional teams to onboard, validate, and integrate enterprise data sources.
• Establish data quality, governance, lineage, and schema validation processes.
• Monitor and improve reliability, observability, performance, and operational efficiency.

Required Skills

• Python and/or Java
• Google Cloud Platform (GCP)
• BigQuery
• Vertex AI
• Dataflow / Apache Beam
• Pub/Sub
• Cloud Run or GKE
• Cloud Storage
• CI/CD and Cloud Build
• Machine Learning & Artificial Intelligence
• Cloud Infrastructure
• Software Engineering & Microservices
• MLOps

Preferred Skills

• Knowledge Graphs
• Graph Data Modeling
• Neo4j, Property Graphs, or Graph Query Technologies
• MCP (Model Context Protocol)
• RAG (Retrieval-Augmented Generation)
• LLMs and Agentic AI
• LangChain / LangGraph
• Embeddings and Vector Search
• OpenTelemetry, Monitoring & Observability
• Terraform and Infrastructure as Code
• Dataplex / Data Catalog
• Event-Driven Architecture & Streaming Data

Experience Required

• 7+ years of IT experience
• 3+ years of software development experience
• 2+ years of AI and Graph Engineering experience
• Hands-on experience with production deployments on GCP
• Experience building and deploying AI/ML and LLM-based solutions
• Strong understanding of testing, code quality, CI/CD, and cloud-native architecture