Platform AI / Machine Learning Engineer

Vertage Inc.; Dearborn (MI); Ibrido; USD 130.000 - 170.000; Tempo pieno

Descrizione del lavoro

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

Competenze

• 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.

Mansioni

• 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.

Conoscenze

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

Descrizione del lavoro

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
• BigQuery
• Dataflow / Apache Beam
• Pub/Sub
• Cloud Run or GKE
• CI/CD and Cloud Build
• Machine Learning & Artificial Intelligence
• Software Engineering & Microservices
• MLOps

Preferred Skills

• Knowledge Graphs
• Graph Data Modeling
• Neo4j, Property Graphs, or Graph Query Technologies
• 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

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