Machine Learning Engineer - Predictive Maintenance & Quality | Remote

Keystone Ridge Solutions; Riverside (CA); On-site; USD 95,000 - 133,000; Full time

Benefits offered by this job

Health insurance

Retirement plans

Work-from-home stipend

Professional development

Job summary

Keystone Ridge Solutions in Riverside, CA is seeking a full-time Machine Learning Engineer to build and deploy data-driven solutions for manufacturing, including predictive maintenance and quality control, leveraging Python and modern ML frameworks.

You will analyze data, collaborate with cross-functional teams, manage multiple projects, and contribute to a culture of innovation, growth, and high-quality results in a dynamic, supportive environment.

Qualifications

• Bachelor's degree in a relevant field (CS/Engineering)
• 3–5 years of industry experience in ML
• Strong background in machine learning methods and deployment

Responsibilities

• Develop and deploy machine learning models for manufacturing use-cases
• Analyze data and extract actionable insights
• Collaborate with cross-functional teams on predictive maintenance and quality control
• Deploy models and monitor performance over time

Skills

Machine learning

Data analysis

Python programming

Education

Bachelor's degree

Tools

TensorFlow

PyTorch

Asana

Trello

Microsoft Office Suite

Job description

Keystone Ridge Solutions in Riverside, CA is seeking a full-time Machine Learning Engineer to build and deploy data-driven solutions for manufacturing, including predictive maintenance and quality control, leveraging Python and modern ML frameworks.

You will analyze data, collaborate with cross-functional teams, manage multiple projects, and contribute to a culture of innovation, growth, and high-quality results in a dynamic, supportive environment.