Manager, Machine Learning Operations – Delivery

🕒 October 13

🏄 California – Remote

🏄 California – Remote

💵 $115k - $175k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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📋 Description

• Design and implement end-to-end machine learning operational solutions, including cloud infrastructure, model deployment, performance optimization, and security monitoring of ML models in production • Lead and develop a team of ML engineers, Data Engineers, Software Engineers, and DevOps specialists • Partner with cross-functional teams to integrate ML and cloud technologies into products and services • Implement and enforce ML Ops best practices, including continuous integration, continuous delivery, automated testing, security by design, and scalable infrastructure solutions • Drive the use of cloud technologies and services for ML model training and deployment, optimizing performance and cost • Own development and maintenance of data pipelines for data ingestion, processing, and model training • Lead the department’s efforts within enterprise Disaster Recovery, Business Continuity, and Record Retention initiatives • Evaluate and integrate advancements in ML Ops, DevOps, SecOps, and Cloud Infrastructure and Architecture • Ensure adherence to technical, security, and compliance standards, including infrastructure security, data privacy, and model governance

🎯 Requirements

• Bachelor's degree (B.S. or higher) in Computer Science, Engineering, Mathematics, a related STEM field or equivalent work experience; M.S. preferred • 3+ years of experience managing high-performing software development teams, with 5+ direct reports • 2+ years of experience working closely with, or 1+ year of experience managing, Platform Engineering teams • 6+ years deploying Java, JavaScript, and Python solutions • 3+ years of experience in machine learning engineering, with a proven track record of deploying and managing ML models in production environments • Expertise in ML Ops, DevOps practices, and API development • 3+ years of experience managing data infrastructure and data pipelines • 3+ years of experience building and supporting serverless multi-cloud deployment and provisioning using AWS and Azure • 3+ years of experience building and deploying Docker solutions • 3+ years of experience designing and deploying advanced Terraform solutions • 3+ years of experience in network technologies (VPCs) • Prior experience developing and maintaining Disaster Recovery Operational Recovery Documents and Business Continuity plans • 1+ years of experience using RunScope, JMeter and Secrets Manager to manage sensitive assets • 1+ years of experience with QA Test Automation and CI/CD automation using Code Pipeline, Code Build and Code Deploy • 1+ years of experience with Git Hooks and managing pre-commit validation • Familiarity designing and implementing Terraform infrastructure • Familiarity with AWS and Azure budget management • Excellent communication skills, capable of conveying complex technical concepts to diverse audiences • Experience implementing agentic operations at scale is highly desirable • Experience with vector databases, relational databases, NLP model deployment, and analysis of large datasets is highly desirable • Experience with clustering, dimensionality reduction, and language model deployment is a plus • Experience with Record Retention policies and initiatives is a plus • Ability to complete a successful background check

🏖️ Benefits

• Group health insurance benefits (medical, vision, dental) • FSA and HSA healthcare accounts • Life and accident insurance • Adoption and fertility assistance • Paid parental leave of up to 6 weeks • Short-term and long-term disability • Paid time off for vacation, personal needs, and sick time • Choice Time Off (CTO), up to 17 days per calendar year for new hires • Up to 11 paid holidays per calendar year • 401(k) savings and investment plan or deferred compensation plan (if eligible) • Employer match of 100% on the first 3% of contributions for eligible employees • Discretionary annual bonus • Reasonable accommodation assistance for applicants with disabilities

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