Platform AI/ML Engineer — Scalable Cloud & LLMs

Vertage Inc.; Dearborn (MI); Hybrid; USD 130,000 - 170,000; Full time

Job summary

Vertage Inc. seeks an experienced Platform AI / Machine Learning Engineer to design, build, deploy, and scale production AI/ML platforms on cloud-native infrastructure in a hybrid work environment in Dearborn, MI.

This 12+ month contract role emphasizes strong software engineering, cloud deployments, and knowledge-graph/agent-based AI solutions. The candidate will collaborate across disciplines to implement MLOps, CI/CD pipelines, data pipelines, governance, and observability, delivering

Qualifications

• 7+ years IT experience.
• 3+ years software development.
• 2+ years 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.

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.

Skills

Python and/or Java

BigQuery

Dataflow / Apache Beam

Pub/Sub

Cloud Run or GKE

CI/CD and Cloud Build

Machine Learning & Artificial Intell.

Software Engineering & Microservices

MLOps

Job description

Vertage Inc. seeks an experienced Platform AI / Machine Learning Engineer to design, build, deploy, and scale production AI/ML platforms on cloud-native infrastructure in a hybrid work environment in Dearborn, MI.

This 12+ month contract role emphasizes strong software engineering, cloud deployments, and knowledge-graph/agent-based AI solutions. The candidate will collaborate across disciplines to implement MLOps, CI/CD pipelines, data pipelines, governance, and observability, delivering