Manager, Machine Learning Operations – Delivery

Job not on LinkedIn

🔥 16 hours ago

🏄 California – Remote

🏄 California – Remote

💵 $115k - $175k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Robert Half

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1948

🎯 Recruiter

👥 HR Tech

🤝 B2B

Recruitment • HR Tech • B2B

Robert Half is a global professional staffing and recruiting firm that connects employers with contract and full-time talent across functions such as finance & accounting, technology, marketing & creative, legal, and administrative support. The company provides executive search, consulting solutions, and localized recruiting through 300+ locations worldwide, and it leverages proprietary and award‑winning AI tools and labor‑market insights (salary guides, market reports, hiring trends) to match candidates and advise hiring managers. Robert Half serves employers with B2B staffing solutions while also supporting job seekers with placement services and career resources.

📋 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