Senior Machine Learning Engineer (only W2 Position – No C2C Accepted)

Systems Technology Group, Inc. (STG); Dearborn (MI); On-site; USD 120,000 - 170,000; Full time

Job summary

STG is seeking a Machine Learning Engineer to design, build, deploy, and scale production ML systems and AI pipelines in a direct-client, long-term role based in Dearborn, MI.

Ideal candidates will have strong Python/Java skills, experience with Vertex AI, BigQuery, and cloud-native data platforms, plus MLOps and CI/CD expertise for production deployments.

Qualifications

• 7+ years of IT experience.
• 3+ years of software development.
• 2+ years of AI and Graph Engineering.
• Strong Python and Java development skills.
• Experience with GCP and cloud-native AI/data platforms.
• Hands-on Vertex AI and BigQuery.
• Experience with data pipelines, graph technologies, and MLOps.
• Experience with CI/CD, production deployments.
• Experience with Cloud Monitoring/Logging, OpenTelemetry, SLOs, dashboards, and alerting.
• Terraform, IAM, security, and secrets management.

Responsibilities

• Design and develop innovative machine learning models and software algorithms to solve complex business problems.
• Build, maintain, and optimize scalable ML pipelines, architecture, and infrastructure.
• Train, retrain, deploy, and manage ML models in production environments.
• Automate ML model deployment and training using CI/CD/CT and MLOps practices.
• Develop solutions involving computer vision, object detection, classification, tracking, and other ML applications.
• Build and deploy Knowledge Graph solutions using cloud-native data pipelines.
• Design and maintain graph entities, relationships, and data models.
• Develop and operate MCP services that expose graph and event-store data to AI agents.
• Build LLM and agent-based solutions using tools such as RAG, grounding, and enterprise AI APIs.
• Develop monitoring, observability, dashboards, alerting, and tracing for AI/data systems.
• Partner with data engineers and application teams to onboard and validate enterprise data.
• Establish data contracts, schema validation, quality checks, governance, and data lineage.

Skills

Python

Java

Vertex AI

BigQuery

GCP

Data pipelines

Graph databases

Neo4j

MLOps

CI/CD

Terraform

IAM

OpenTelemetry

LLM integrations

RAG

GQL

Spanner Graph

Tools

Dataflow

Apache Beam

Pub/Sub

Cloud Run

GKE

Cloud Storage

Job description

Title: Machine Learning Engineer (only W2 Position – No C2C Accepted)

Description: STG is a SEI CMMi Level 5 company with several Fortune 500 and State Government clients. STG has an opening for Machine Learning Engineer.

Please note that this project assignment is with our own direct clients. We do not go through any vendors. STG only does business with direct end clients. This is expected to be a long-term position. STG will provide immigration and permanent residency sponsorship assistance to those candidates who need it.

Experience Required

• We are seeking Machine Learning Engineer 2 to design, build, deploy, and scale complex machine learning and AI solutions. This role will focus on developing production-ready ML systems, scalable cloud infrastructure, machine learning pipelines, Knowledge Graph solutions, and GenAI/LLM applications.
• The ideal candidate will have strong software engineering skills in Python and Java, hands‑on experience with GCP and Vertex AI, and experience working with AI/ML, data pipelines, graph technologies, and MLOps.

Key Responsibilities

• Design and develop innovative machine learning models and software algorithms to solve complex business problems.
• Build, maintain, and optimize scalable ML pipelines, architecture, and infrastructure.
• Train, retrain, deploy, and manage ML models in production environments.
• Automate ML model deployment and training using CI/CD/CT and MLOps practices.
• Develop solutions involving computer vision, object detection, classification, tracking, and other ML applications.
• Build and deploy Knowledge Graph solutions using cloud-native data pipelines.
• Design and maintain graph entities, relationships, and data models.
• Develop and operate MCP services that expose graph and event-store data to AI agents.
• Build LLM and agent-based solutions using tools such as RAG, grounding, and enterprise AI APIs.
• Develop monitoring, observability, dashboards, alerting, and tracing for AI/data systems.
• Partner with data engineers and application teams to onboard and validate enterprise data.
• Establish data contracts, schema validation, quality checks, governance, and data lineage.

Required Skills & Experience

• 7+ years of IT experience.
• 3+ years of software development experience.
• 2+ years of AI and Graph Engineering experience.
• Strong Python and Java development skills.
• Experience with GCP and cloud-native AI/data platforms.
• Hands‑on experience with Vertex AI and BigQuery.
• Experience with Dataflow/Apache Beam, Pub/Sub, Cloud Run/GKE, and Cloud Storage.
• Experience with graph data modeling and querying, including GQL, Neo4j, Spanner Graph, or similar technologies.
• Experience building LLM/AI agent systems, RAG, grounding, and model integrations.
• Familiarity with MCP or similar agent tool protocols.
• Experience with MLOps, CI/CD, and production deployments.
• Experience with Cloud Monitoring/Logging, OpenTelemetry, SLOs, dashboards, and alerting.
• Experience with Terraform, IAM, security, and secrets management.
• Ability to work with data producers to model and validate enterprise data.

Preferred Experience

• Dataplex or Data Catalog.
• Streaming/CDC and event-driven architecture.
• Event-sourced data modeling.
• User-facing applications and dashboards using Knowledge Graph data.
• Experience with product development, manufacturing, quality, or supply-chain data.
• Data quality frameworks and schema evolution.

Machine Learning Engineer is based in Dearborn, MI. A great opportunity to experience the corporate environment leading personal career growth.

For more information about STG, please visit us at www.stgit.com.

“Opportunities don't happen, you create them.”

Troy, Michigan 48084