Machine Learning Engineer II — Operations (Production AI)

tti; Milwaukee (WI); On-site; USD 115,000 - 135,000; Full time

Job summary

Milwaukee Tool is seeking a Machine Learning Engineer II to design, develop, and deploy ML solutions that improve manufacturing and service operations globally. You will work across operations, quality, supply chain, and engineering, driving data-driven improvements from data engineering through model deployment and monitoring on Azure and Databricks.

The role emphasizes collaboration with Global and Service Teams, ownership of production-ready ML solutions, and effective communication of

Qualifications

• Bachelor's degree in CS/CE/EE or related field.
• Course work or specialization in ML/Data Science with DL frameworks (PyTorch, TensorFlow, Keras).
• At least 1 year hands-on ML experience applying ML principles.
• Experience with ML methods such as CNNs or transformers.
• Experience with Spark, SQL, and Python for big data transformation.
• Experience with CI/CD pipelines (Azure, Databricks, MLFlow) and edge devices.
• Willingness to adjust working hours for international time zones and travel up to 20%.

Responsibilities

• Design, develop, and deploy ML solutions to improve manufacturing and service processes.
• Collaborate with operations, quality, supply chain, and engineering teams globally.
• Contribute to full machine learning lifecycle from data engineering to deployment and monitoring on Azure and Databricks.
• Partner with Global and Service Teams to validate and support ML solutions in production environments.
• Deliver production-ready solutions with measurable impact and clear communication to non-technical audiences.

Skills

Machine Learning

Python

Spark

SQL

CI/CD

Azure Databricks

Deep Learning

CNNs

Transformers

Matplotlib

Containerization

Linux

ML Deployments

Education

Bachelor of Science in CS/CE/EE

Master’s or PhD preferred

Tools

Databricks

MLFlow

PyTorch

TensorFlow

Job description

Milwaukee Tool is seeking a Machine Learning Engineer II to design, develop, and deploy ML solutions that improve manufacturing and service operations globally. You will work across operations, quality, supply chain, and engineering, driving data-driven improvements from data engineering through model deployment and monitoring on Azure and Databricks.

The role emphasizes collaboration with Global and Service Teams, ownership of production-ready ML solutions, and effective communication of