Manufacturing ML Engineer - Build AI for Industry 4.0

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 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.