Senior Machine Learning Operations Engineer

August 10

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The Nation’s Leading Residential and Commercial Solar Performance Plan And Cash-Back Energy Guarantee

Residential Solar • Operations and Maintenance • Asset Management • Asset Performance Management • Commercial Solar

51 - 200

Description

• Lead the development and optimization of model deployment infrastructure • Enhance and maintain CI/CD pipelines for model deployment • Improve and maintain data pipelines for model retraining • Manage and scale feature repository and serving capabilities

Requirements

• Proven ability to translate domain business problems into machine learning solutions • Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, Mathematics, Statistics, or equivalent experience • Strong software engineering pedigree with production-ready code ability • Proficiency in Python, Java, C++, or other relevant programming languages • Experience deploying machine learning models using Docker, Kubernetes, and cloud platforms • Expertise in CI/CD pipelines and monitoring tools • Solid understanding of the full ML lifecycle

Benefits

• Family medical, dental, vision, and disability coverage • Parental leave • 401(k) administration • Thoughtful PTO • Paid sabbatical leave after four years • Competitive total compensation package including monthly health insurance premiums, quarterly bonuses, and long-term stock options • Company-wide slack channels for wellness and support • Affinity groups for employee support