Machine Learning Engineer - Operations and Production AI

Milwaukee-Tool; Milwaukee (WI); On-site; USD 110,000 - 140,000; Full time

Benefits offered by this job

Health, Dental, Vision

401(k)

Education assistance

On-site wellness

Cafeteria and coffee

Job summary

Milwaukee Tool seeks a Machine Learning Engineer II to design, develop, and deploy ML solutions that enhance manufacturing and service operations. You will work across operations, quality, supply chain, and engineering to implement data-driven models and analytics in real-world settings.

The role emphasizes full ML lifecycle, from data engineering to monitoring, with deployments on Azure and Databricks and collaboration with global teams to deliver measurable impact.

Qualifications

• Bachelor of Science in CS/Engineering or related field.
• Hands-on ML implementation experience in real-world problems.
• Experience with ML frameworks (PyTorch, TensorFlow, Keras).
• Proficiency in Spark, SQL and Python data stack.

Responsibilities

• Design, develop, and deploy ML solutions for manufacturing operations.
• Collaborate with operations, quality, and supply chain teams globally.
• Deploy and monitor models on Azure and Databricks; ensure measurable value.

Skills

ML Algorithms

Python

PyTorch

TensorFlow

Spark

SQL

CI/CD

Data Visualization

Communication

Cloud Computing

Education

B.S. in CS/CE/EE

M.S. or PhD preferred

Tools

Azure

Databricks

MLflow

Spark

Linux

Job description

Milwaukee Tool seeks a Machine Learning Engineer II to design, develop, and deploy ML solutions that enhance manufacturing and service operations. You will work across operations, quality, supply chain, and engineering to implement data-driven models and analytics in real-world settings.

The role emphasizes full ML lifecycle, from data engineering to monitoring, with deployments on Azure and Databricks and collaboration with global teams to deliver measurable impact.