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Milwaukee Tool
Milwaukee, WI; MT-MKE-Red Beacon
Source: Milwaukee Tool careers · View original posting
From Milwaukee Tool's posting. “We” and “our” refer to the employer.
Excited to grow your career?
We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply!
Our people make all the difference in our success.
Applicants must be authorized to work in the U.S.; Sponsorship is not available for this position at this time.
At Milwaukee Tool we firmly believe that our People and our Culture are the secrets to our success – so we give you unlimited access to everything you need to drive disruptive new technologies and solutions across our operations teams. Our Operations Teams are responsible for the manufacturing, service, supply chain, and quality systems that bring our products to life and into the hands of our users.
We continue to invest in advanced analytics, machine learning, and AI capabilities to transform how we run our plants, optimize production, and anticipate issues before they reach the line. We’re pushing the limits in data engineering, deep learning, and generative AI applied to real-world manufacturing problems.
As a Machine Learning Engineer II, you will design, develop, and deploy machine learning solutions that improve how Milwaukee Tool manufactures and services products. Working cross-functionally with operations, quality, supply chain, engineering, and service teams, you will develop and implement data-driven solutions that address real-world business and operational challenges globally.
You will contribute to the full machine learning lifecycle, from data engineering and model development to deployment and monitoring on Azure and Databricks. A key aspect of this role is partnering with our Global and Service Teams to deploy, validate, and support machine learning solutions in operational environments, ensuring models deliver measurable value where they are used.
This role is ideal for a self-motivated engineer who thrives in a fast-paced environment, communicates effectively across technical and non-technical teams, and takes ownership of delivering impactful, production-ready solutions.
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