Apply on Employer Site

Innovative Refrigeration Systems, Inc. · 3 hours ago

Lead Machine Learning Engineer

Waynesboro, VA

Full-time

Onsite

Senior Level, Lead/Staff

2+ years exp

Innovative Refrigeration Systems, Inc. is looking for a results-oriented Lead Machine Learning Engineer to join their Software Engineering Department. This role is pivotal in developing advanced machine learning models that optimize energy efficiency across large-scale industrial refrigeration and cold storage facilities.

ConstructionIndustrial EngineeringMechanical Engineering

Responsibilities

Build physics-based and reinforcement learning models to improve energy efficiency and temperature safety in industrial refrigeration systems

Fine-tune, test, and deploy machine learning models to production environments

Collaborate with product, energy, and software teams to influence platform architecture and features

Analyze large datasets from industrial sensors, controls, and process systems

Develop predictive models for maintenance and performance optimization

Document algorithms, workflows, and performance metrics for ongoing improvement

Qualification

Machine LearningPythonCloud ML environmentsReinforcement LearningData AnalysisProblem-solvingCollaborationSelf-starter

Required

Bachelor's degree in Computer Science, Computer Information Systems, Data Science, Mechanical, Chemical, or Electrical Engineering (or equivalent experience)

Minimum 2 years of hands-on experience building and optimizing ML systems

Strong understanding of machine learning theory and practical model deployment

Experience working in cloud ML environments (AWS, Azure, or GCP)

Proficient in ML tools such as Python, TensorFlow, Scikit-learn, or R

Excellent problem-solving and collaboration skills

Self-starter with the ability to learn mechanical engineering principles related to refrigeration and thermodynamics. Must be able to remain in a stationary position (seated or standing) for extended periods

Occasionally may need to lift or carry items up to 25 pounds (e.g., office supplies, small equipment)