Cleaver Brooks is looking for a Machine Learning Engineer to join our team in Milwaukee, WI.

Join our forward-thinking team as a Machine Learning Engineer, where you will use your expertise in mechanical engineering or physics to develop intelligent systems that mimic the real world. Armed with strong Python programming skills and AWS experience, you'll craft machine learning solutions that transform our understanding and interactions with machinery and physical processes.

Essential functions:

Model Development and Implementation: Design and develop machine learning algorithms and models. Test models for accuracy, efficiency, and scalability. Implement models in production environments, ensuring they perform optimally under various conditions.
Data Management: Work with cross-functional teams to establish data collection and preprocessing frameworks that support effective machine learning operations.
Research and Innovation: Stay informed about the latest advancements in machine learning and artificial intelligence. Explore new methods and technologies that can enhance the functionality and efficiency of our systems.
Innovative Problem-Solving: Apply your mechanical engineering or physics knowledge to tackle complex challenges through advanced machine learning techniques, improving system performance and decision-making capabilities.
Collaboration: Engage with engineers, developers, and business units to integrate machine learning solutions into broader systems and processes.
Performance Optimization: Monitor, adjust, and refine machine learning models to better replicate and predict physical phenomena, achieving superior business outcomes.
Documentation: Maintain detailed records of the development process, model functionalities, and deployment methods.

Basic Requirements:

Education: Bachelor's degree in Computer Science, Engineering, Physics, or a closely related field.

Experience: At least 2+ years of relevant experience in machine learning, ideally with a solid grounding in mechanical engineering or physics.

Technical Skills:

Advanced proficiency in Python.
Hands-on experience with AWS for deploying and managing machine learning workloads.
A robust understanding of mechanical engineering or physics principles, capable of translating physical behaviors into digital models.

Soft Skills:

Exceptional problem-solving skills and innovative thinking.
Strong communication abilities, able to articulate complex solutions to a non-technical audience.
Proven ability to work effectively in collaborative environments.

Benefits of Being a Cleaver-Brooks Employee:

Comprehensive benefits, including medical, dental, vision, maternity support program, discounted virtual physician visits, voluntary medical benefits, FSA, HSA, life insurance, short term and long-term disability.
Cash matching 401(k) plan.
Employee assistance program (EAP).
Employee discount program.
Tuition assistance.
Paid time off and 11 paid holidays.

Who is Cleaver-Brooks:

Cleaver-Brooks is the market leader in providing fully integrated boiler and burner systems. We lead the boiler/burner industry due to our unmatched distribution network's ability to deliver the knowledge, service, training, and support that are essential to long-term performance. Our focus on products that deliver the most efficient, reliable, safe, and environmentally sustainable solutions differentiates us in the marketplace.

This description indicates the general nature of the tasks and responsibilities required of positions given this classification. It is not intended as a complete list of specific duties and responsibilities. Nor is it intended to limit or modify the right of management to assign, direct, and control the specific duties of individuals performing this function.

Profile of Green Employers

New Jobs

Machine Learning Engineer