Innovative Refrigeration Systems, Inc. · 11 hours ago
Lead Machine Learning Engineer
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
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)
Preferred
Master's or PhD in Computer Science, Mathematics, or Engineering
Background in energy optimization, predictive maintenance, thermodynamics, or industrial refrigeration
Prior software engineering experience building backend systems around ML models
Company
Innovative Refrigeration Systems, Inc.
For more than 30 years, Innovative Refrigeration Systems, Inc.
Funding
Current Stage
Late StageTotal Funding
unknown2024-01-11Private Equity
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