Machine Learning Engineer II — AI for Smart Manufacturing

TECHTRONIC CORDLESS GP; Milwaukee (WI); On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

Health insurance

401(k) plan

Education assistance

On-site wellness / gym

Job summary

Milwaukee Tool is hiring a Machine Learning Engineer II to design, develop, and deploy ML solutions that enhance manufacturing and service operations. You will collaborate with operations, quality, supply chain, engineering, and service teams to implement data-driven models across global facilities.

Responsibilities include data engineering, model development, deployment, and monitoring on Azure and Databricks.

Qualifications

• Bachelor of Science degree in Computer Science, Computer Engineering, Electrical Engineering or related field.
• Completed coursework or specialization in ML/Data Science using DL frameworks (PyTorch, TensorFlow, Keras).
• At least one year hands-on ML experience applying ML principles to real-world problems.
• Experience with ML methods such as CNNs, transformers, or computer vision.
• Proficiency in big data transformation using Spark, SQL, and Python (NumPy, pandas, scikit-learn, Matplotlib).
• Solid foundation in statistics, linear algebra, calculus, and optimization.
• Experience with ML deployments using CI/CD pipelines (Azure, Databricks, MLFlow) and edge devices (GPU, Containerization, Linux).
• Excellent problem-solving and technical communication translating ML deployments to non-technical audiences.
• Experience collaborating with global teams and willingness to adjust working hours for time zones.
• Ability to travel up to 20% domestically and internationally.

Responsibilities

• Design, develop, and deploy ML solutions to improve manufacturing and service processes.
• Work cross-functionally with operations, quality, supply chain, engineering, and service teams.
• Contribute to end-to-end ML lifecycle from data engineering to deployment and monitoring on Azure and Databricks.
• Partner with Global and Service Teams to deploy and support ML solutions in production environments.

Skills

Problem-solving

Technical communication

Global collaboration

Willingness to adjust hours

Travel readiness

Education

Bachelor of Science in CS/CE/EE

Master’s or PhD in ML/related field

Tools

PyTorch

TensorFlow

Keras

Spark

SQL

Python (NumPy, pandas, scikit-learn)

Azure

Databricks

MLFlow

CI/CD (Azure)

Linux

Docker

Job description

Milwaukee Tool is hiring a Machine Learning Engineer II to design, develop, and deploy ML solutions that enhance manufacturing and service operations. You will collaborate with operations, quality, supply chain, engineering, and service teams to implement data-driven models across global facilities.

Responsibilities include data engineering, model development, deployment, and monitoring on Azure and Databricks.