Machine Learning Engineer

Maple West Solutions; Milwaukee (WI); On-site; USD 120,000 - 177,000; Full time

Job summary

Maple West Solutions in Milwaukee, WI is seeking a Machine Learning Engineer to design, develop, and deploy ML models for manufacturing. You'll work with cross-functional teams, translate business needs into technical requirements, and push for data-driven decisions.

The role requires a CS/Engineering degree and 2+ years of ML experience with Python and libraries like TensorFlow, PyTorch, or scikit-learn; salary range includes $120,000 to $176,704 and start date aligned with the fiscal year.

Qualifications

• Bachelor's degree in CS, Stats, Math, or related field.
• 2+ years of machine learning engineering experience.
• Strong Python programming and ML library experience (TF, PyTorch, scikit-learn).
• Experience with data preprocessing, feature engineering and model evaluation.
• Familiarity with AWS or GCP is a plus.
• Excellent problem-solving and teamwork.
• Effective communication and ethical AI practices.

Responsibilities

• Design, develop, and implement ML models for manufacturing problems.
• Collaborate with cross-functional teams to translate business needs into technical requirements.
• Develop and maintain ML pipelines, ensuring data quality, model performance, and scalability.
• Conduct experiments to improve existing models and develop new ones.
• Stay up-to-date with ML and data science advancements.
• Document processes, models, and findings for knowledge sharing.
• Mentor junior team members and contribute to learning culture.
• Participate in code reviews and provide constructive feedback.

Skills

Python

Machine Learning

Data preprocessing

Feature engineering

Model evaluation

Cross-functional collaboration

Education

Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field

Tools

TensorFlow

PyTorch

scikit-learn

Job description

Maple West Solutions, a growing data-driven solutions company for manufacturing, seeks a Machine Learning Engineer in Milwaukee, WI. This full-time role offers a salary range of $120,000 to $176,704.

As a Machine Learning Engineer, you'll develop and implement machine learning models, optimize algorithms, and collaborate with cross-functional teams to drive innovation and efficiency.

In this dynamic and collaborative environment, you'll have the opportunity to work alongside professionals from diverse disciplines, all united in their commitment to advancing the manufacturing industry. Together, you'll contribute to a wide range of projects that have a tangible and significant impact on the sector. This collaborative atmosphere fosters innovation and creativity, as you share ideas and insights with your colleagues, ultimately driving the success of the projects you're involved in. The diverse skill sets and perspectives of your team members will enable you to approach challenges from multiple angles, leading to more comprehensive and effective solutions. By working in this environment, you'll not only enhance your own professional growth but also play a crucial role in shaping the future of manufacturing.

The role includes a competitive salary range of $120,000 to $176,704, reflecting your skills and experience in machine learning and data science.

You'll need a degree in Computer Science, Engineering, or a related field, along with experience in machine learning, Python, and data analysis tools like TensorFlow or PyTorch.

To join our team and contribute to the future of manufacturing through machine learning, you are required to submit your application by November 22, 2026. This deadline is crucial as it allows us to review and process all applications in a timely manner before the start of the new fiscal year. The application process is designed to be straightforward, ensuring that you can easily provide the necessary information and documents. Upon submission, your application will be reviewed by our dedicated team, who will assess your qualifications and experience in the field of machine learning and manufacturing. If you meet the criteria, you will be invited for an interview, where you can further discuss your potential role and how you can contribute to our team. This process is designed to ensure that we find the best candidates who can help us achieve our goals and drive innovation in the manufacturing industry.

Responsibilities:

• Design, develop, and implement machine learning models to solve complex problems in the manufacturing industry.
• Collaborate with cross-functional teams to understand business needs and translate them into technical requirements.
• Develop and maintain machine learning pipelines, ensuring data quality, model performance, and scalability.
• Conduct experiments and tests to improve existing models and develop new ones.
• Stay up-to-date with the latest advancements in machine learning and data science.
• Document processes, models, and findings for future reference and knowledge sharing.
• Mentor junior team members and contribute to a culture of continuous learning.
• Participate in code reviews and provide constructive feedback to peers.

Qualifications:

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
• 2+ years of experience in machine learning engineering, preferably in the manufacturing or industrial sector.
• Strong programming skills in Python and familiarity with machine learning libraries such as TensorFlow, PyTorch, or scikit-learn.
• Experience with data preprocessing, feature engineering, and model evaluation.
• Understanding of cloud platforms like AWS or GCP is a plus.
• Excellent problem-solving skills and the ability to work independently and as part of a team.
• Strong communication skills, both written and verbal.
• Passion for data-driven decision making and a commitment to ethical AI practices.