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Penguin Solutions is seeking a Lead ML/AI Engineer to lead their post-sales delivery organization, focusing on the development and operational management of AI solutions. The ideal candidate will have extensive experience in MLOps, technical leadership, and a passion for automation and quality.
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Job Summary
You will be the technical heart of our post-sales delivery organization, a hands-on, player-coach responsible for leading the team that brings our AI solutions to life for our customers.
Lead, mentor, and provide technical guidance to a team of ML/AI Engineers and AI Infrastructure Specialists, owning the technical quality, reliability, and performance of all deployed solutions.
The base pay range that the Company reasonably expects to pay for this position in the United States is $175,000 - $215,000, with bonus eligibility and comprehensive benefits including medical, dental, vision, and a 401k saving plan.
Matching Summary
Match Score: 75
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Penguin Solutions is seeking a Lead ML/AI Engineer to lead their post-sales delivery organization, focusing on the development and operational management of AI solutions. The ideal candidate will have extensive experience in MLOps, technical leadership, and a passion for automation and quality.
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Salary
Base: $175,000 - $215,000; Bonus/Equity: bonus-eligible; Benefits: medical, dental, and vision benefits, 401k saving plan, Paid Time Off, Life Insurance, Employee Assistance Plan
Skills & Requirements
Must-have
MLOps expert
automation and quality
design and build operational backbone
lead a team of engineers
CI/CD pipelines for AI/ML
containerization and orchestration
monitoring, logging, and observability
Nice-to-have
customer-facing professional services
deploying infrastructure in public cloud
deploying infrastructure on-premises
Key Requirements
7+ years of experience in software engineering, DevOps, or ML engineering
at least 2 years in a technical leadership capacity
hands-on experience building and managing CI/CD pipelines
infrastructure-as-code experience
production-level experience with containerization and orchestration
excellent problem-solving and troubleshooting skills