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À propos de ce poste Manager, Machine Learning Operations & Delivery chez Protiviti

Protiviti · Sur site · SAN RAMON

Who We Are


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.

 

What You'll Do


  • 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.

 

What You'll Need


  • 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.

The typical annual salary range for this position is shown below and is negotiable depending upon experience and location. The position is eligible for a discretionary annual bonus.

$115,000.00 - $175,000.00

We offer exceptional earning potential and a competitive benefits package, including 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, and short/long term disability. Robert Half provides paid time off for vacation, personal needs, and sick time. The amount of Choice Time Off (CTO) our people receive varies based on their years of service and is pro-rated based on the hours worked per week. A new hire earns up to 17 days of CTO per calendar year. Our people also receive up to 11 paid holidays per calendar year. We also offer the 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. Learn more at https://roberthalfbenefits.com.

Robert Half Inc. is an Equal Opportunity Employer. M/F/Disability/Veteran

As part of Robert Half’s Corporate Services facility employment process, any offer of employment is contingent upon successful completion of a background check.

Our recruiters use their expertise and may utilize AI to help with their evaluation of candidates.

Robert Half is committed to being an equal employment employer offering opportunities to all job seekers, including individuals with disabilities. If you believe you need a reasonable accommodation in order to search for a job opening or to apply for a position, please contact us by sending an email to [email protected] or call 1.855.744.6947 for assistance.

In your email please include the following:

  • The specific accommodation requested to complete the employment application.

  • The location(s) (city, state) to which you would like to apply.

For positions located in San Francisco, CA: Robert Half will consider qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.

For positions located in Los Angeles County, CA: Robert Half will consider for employment qualified applicants with arrest or conviction records in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

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À propos de Protiviti

Protiviti ( www.protiviti.com ) is a global consulting firm that helps clients transform and protect their businesses, and respond to planned and unexpected events. Through a network of more than 90 offices in over 25 countries, Protiviti and its independent and locally owned member firms deliver deep expertise and tailored capabilities across technology, artificial intelligence, data, operations, finance, legal, compliance, HR, marketing, digital, risk, and internal audit — enabling organizations to accelerate innovation, navigate risks and safeguard what matters most. Named to the Fortune 100 Best Companies to Work For® list since 2015, Protiviti Inc. has served more than 80 percent of For

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