Machine Learning Engineer
Machine Learning Engineer 📍 Location: Dearborn, MI (4 Days Onsite)🏢 Client Location: Rotunda Center, 17000 Rotunda Drive, Dearborn, MI 48120📅 Start Date: October 19, 2026⏳ Contract Duration: 359 Days🕒 Shift: Morning Shift (7:00 AM - 4:00 PM)
About the Role:
We are seeking a highly skilled Machine Learning Engineer 2 to design, build, deploy, and scale advanced machine learning solutions. This opportunity is ideal for professionals with strong experience in AI, Graph Engineering, MLOps, and cloud-native platforms who are passionate about developing production-grade ML systems.
Key Responsibilities:
âś… Design, develop, and deploy machine learning models and algorithms for complex business challenges.âś… Build and optimize scalable ML pipelines, infrastructure, and cloud-native architectures.âś… Develop solutions across areas such as:
- Computer Vision
- Perception & Localization
- Object Detection & Tracking
- Classification Systems
- Terrain MappingAI-Driven Applicationsâś… Implement MLOps best practices including:
- CI/CD/CTAutomated Model Training & Retraining
Model Versioning & Traceabilityâś… Develop and maintain Knowledge Graph solutions and MCP serving layers.âś… Monitor system reliability, observability, performance, and data quality.âś… Collaborate closely with Data Engineers, Product Development, Manufacturing, Quality, and Supply Chain teams.
Required Skills:
- PythonJavaGoogle Cloud Platform (GCP)
- BigQueryCloud Infrastructure
- Artificial Intelligence & Machine Learning
- Graph Data Modeling
- Vertex AIDataflow / Apache BeamPub/SubCloud Run / GKEMLOpsTerraformCI/CD Pipelines
Preferred Skills:
- Knowledge Graph Engineering
- Neo4j / Property Graphs / GQLMCP ProtocolsRAG (Retrieval-Augmented Generation)LLM & Agent-Based Systems
- Dataplex / Data Catalog
- OpenTelemetryStreaming & Event-Driven Architectures
- Data Governance & Lineage
- Dashboard and Application Development
Required Experience:
- 7+ years of IT experience
- 3+ years of software development experience
- 2+ years of AI and Graph Engineering experience
- Hands-on experience deploying AI/Data solutions on GCP
- Strong expertise in production-grade software engineering practices Education🎓 bachelor's degree required