Machine Learning Engineer (MLOps & Cloud Data Engineering)

Location: Allen Park, Michigan, United States; hybrid arrangement with four days per week onsite. Morning work schedule; no travel required.

Company

hirify.global delivers technology projects involving business and technology stakeholders, clients, emerging technologies, and high-performing teams.

What you will do

• Design, develop, deploy, and scale machine learning models and software algorithms for computer vision, perception, localization, object detection, tracking, classification, and terrain mapping.
• Build and optimize scalable MLOps pipelines, cloud infrastructure, CI/CD/CT automation, model versioning, retraining, and production deployments on GCP.
• Design and deploy knowledge graph solutions, graph entities and relationships, event-store services, graph queries, and schema discovery tools.
• Build AI agent capabilities with tool contracts, guardrails, model serving, embeddings, evaluation, tool use, and RAG or grounding.
• Implement observability for data pipelines and AI services, including SLOs, dashboards, alerting, tracing, data freshness, latency, cost, and answer quality monitoring.
• Partner with data engineers and data source owners on ingestion, data contracts, schema validation, data quality, governance, cataloging, and lineage.

Requirements

• Bachelor's degree, 7+ years of IT experience, 3+ years of development experience, and 2+ years of AI and graph engineering experience.
• Strong software engineering experience with Python and Java, including production-grade testing, CI/CD, and code quality practices.
• Production experience with GCP, BigQuery, Vertex AI, Dataflow or Apache Beam, Pub/Sub, Cloud Run or GKE, Cloud Storage, and Cloud Build or Artifact Registry.
• Experience with graph data modeling and querying, Vertex AI agents and model serving, LLM or agent systems, tool use, RAG or grounding, and model APIs.
• Experience with observability, OpenTelemetry, SLOs, dashboards, alerting, Terraform, IAM, least privilege, and secrets management.
• Ability to work onsite four days per week in Allen Park, Michigan, during a morning schedule.

Nice to have

• Dataplex or Data Catalog experience for governance, lineage, and business glossaries.
• Experience with streaming or CDC, event-driven architectures, append-only or event-sourced data modeling, and schema evolution.
• Experience building user-facing applications and dashboards for knowledge graph data.
• Exposure to PLM, product development, manufacturing execution, quality, or supply-chain systems and data.
• Experience with blue-green or zero-downtime data deployments.

Culture & Benefits

• Collaboration with experts, clients, and high-performing teams.
• Long-term career development and opportunities to build skills in emerging technologies.
• Benefits may include medical, dental, and vision coverage, paid time off, paid holidays, 401(k) matching, life and disability insurance, professional development, and wellness programs.
• Inclusive workplace committed to equal opportunity, dignity, respect, and diversity.