ML Engineer — MLOps & Production Pipelines

Dow; Midland (MI); On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Equitable base pay

Bonus opportunity

401(k) savings match

Job summary

Dow is seeking a Machine Learning Engineer to join our Enterprise Data & AI organization, with roles in Houston, TX; Midland, MI; or Champaign, IL. You will lead MLOps framework architecture, develop production-grade ML deployments, and collaborate across data science, engineering, and IT teams to deliver scalable, secure AI solutions.

The role emphasizes Databricks-first workflows, modern software engineering practices, and mentoring colleagues to elevate Dow’s ML capabilities across the

Qualifications

• Bachelor’s degree or equivalent experience required.
• 3+ years in ML, data science, software or data engineering.
• U.S. work authorization; no visa sponsorship.

Responsibilities

• Architect and lead the enterprise MLOps framework using Databricks and Azure.
• Develop and enforce CI/CD, IaC patterns for ML pipelines and models.
• Collaborate with data scientists, engineers, security, and IT for production deployments.
• Design and monitor ML models across batch, streaming, and real-time serving.

Skills

MLOps architecture

Databricks

Azure

Python

SQL

CI/CD

Security & governance

Education

Bachelor’s degree

Tools

MLflow

Delta Lake

Azure DevOps

Kubernetes

Job description

Dow is seeking a Machine Learning Engineer to join our Enterprise Data & AI organization, with roles in Houston, TX; Midland, MI; or Champaign, IL. You will lead MLOps framework architecture, develop production-grade ML deployments, and collaborate across data science, engineering, and IT teams to deliver scalable, secure AI solutions.

The role emphasizes Databricks-first workflows, modern software engineering practices, and mentoring colleagues to elevate Dow’s ML capabilities across the