Manager, Machine Learning Operations & Delivery

At Robert Half, we're at the forefront of artificial intelligence and data science innovation, driving growth and efficiency across our products and services. Our AI capabilities are powered by a vast pool of proprietary data, setting the stage for cutting-edge developments in the industry. As we continue to expand our AI tech horizon, we invite you to join us in shaping the future direction of our technological journey. 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.

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