[Hiring] Manager, Machine Learning Operations & Delivery @Robert Half

Role Description

Our Data Science Innovation team is seeking a hands-on Manager to lead key initiatives within our ML Operations & Delivery function. This role is designed for a player coach who excels in the orchestration of DevOps, ML Ops, Infrastructure, Security and API development to support scalable machine learning solutions. The ideal candidate will lead ML efforts day to day while contributing technically, ensuring our ML systems are robust, scalable, and seamlessly integrated into our product offerings.

• 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, fostering an environment of innovation, high performance, and collaboration.
• Partner with cross-functional teams to ensure the seamless integration of ML and cloud technologies into our products and services, enhancing customer experience and operational efficiency.
• Implement and enforce best practices for ML Ops, 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 for performance and cost.
• Own the development and maintenance of robust data pipelines to support data ingestion, processing, and model training.
• Lead the department’s efforts within the enterprise Disaster Recovery, Business Continuity, and Record Retention initiatives, ensuring alignment with requirements and timelines.
• Evaluate and integrate the latest advancements in ML Ops, DevOps, SecOps, and Cloud Infrastructure and Architecture, keeping Robert Half at the cutting edge of technology.
• Ensure the team adheres to technical, security and compliance standards within the ML domain, including infrastructure security, data privacy and model governance.

Qualifications

• Bachelor's degree (B.S. or higher) in Computer Science, Engineering, Mathematics, a related STEM field or equivalent work experience; M.S. preferred.
• Strong leadership skills and ability to foster a culture of collaboration, inclusion, and innovation, with 3+ years of experience managing high-performing software development teams (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. Experience working with or contributing to a Data Mesh is a plus.
• 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.
• API security and data security minded, with 1+ years of experience using RunScope, JMeter and Secrets Manager to manage the team's 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.

Benefits

• Exceptional earning potential and a competitive benefits package.
• 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/long term disability.
• Paid time off for vacation, personal needs, and sick time.
• Up to 17 days of Choice Time Off (CTO) per calendar year.
• Up to 11 paid holidays per calendar year.
• Opportunity to contribute to our company 401(k) savings and investment plan or deferred compensation plan (if eligible), with an employer match of 100% on the first 3% of your contributions for eligible employees.