Machine Learning Engineer

Machine Learning Engineer

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Location:

Dearborn, MI (4 Days Onsite)

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Client Location:

Rotunda Center, 17000 Rotunda Drive, Dearborn, MI 48120

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Start Date:

October 19, 2026

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Contract Duration:

359 Days

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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

✅ Design, develop, and deploy machine learning models and algorithms for complex business challenges.

✅ Build and optimize scalable ML pipelines, infrastructure, and cloud-native architectures.

✅ Develop solutions across areas such as:

• Computer Vision
• Perception & Localization
• Object Detection & Tracking
• Classification Systems
• Terrain Mapping
• AI-Driven Applications

✅ Implement MLOps best practices including:

• CI/CD/CT
• Automated Model Training & Retraining
• Model Versioning & Traceability

✅ Develop and maintain Knowledge Graph solutions and MCP serving layers.

✅ Monitor system reliability, observability, performance, and data quality.

✅ Collaborate closely with Data Engineers, Product Development, Manufacturing, Quality, and Supply Chain teams.

Required Skills

• Python
• Java
• Google Cloud Platform (GCP)
• BigQuery
• Cloud Infrastructure
• Artificial Intelligence & Machine Learning
• Graph Data Modeling
• Vertex AI
• Dataflow / Apache Beam
• Pub/Sub
• Cloud Run / GKE
• MLOps
• Terraform
• CI/CD Pipelines

Preferred Skills

• Knowledge Graph Engineering
• Neo4j / Property Graphs / GQL
• MCP Protocols
• RAG (Retrieval-Augmented Generation)
• LLM & Agent-Based Systems
• Dataplex / Data Catalog
• OpenTelemetry
• Streaming & 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