Machine Learning Operations Engineer

Integral Ad Science (IAS) is a leading global media measurement and optimization platform that delivers the industry’s most actionable data to drive superior results for the world’s largest advertisers, publishers, and media platforms. If you are excited by technology that has the power to handle hundreds of thousands of transactions per second; collect tens of billions of events each day; and evaluate thousands of data points in real-time all while responding in just a few milliseconds, then IAS is the place for you!

As a MLOps Engineer, you will be responsible for managing end-to-end release processes for Data Science products, positioned at the intersection of MLOps and software release management. Your role will involve designing, orchestrating, and optimizing release pipelines to ensure robust software acceptance, comprehensive validation, and high-quality deployment standards. You will collaborate with cross-functional teams to integrate continuous deployment practices and streamline the release lifecycle, while also monitoring and refining processes through well-defined KPIs and roadmaps.

What you'll get to do:

• Develop and Optimize Release Pipelines: build, maintain, and enhance scalable release pipelines and automation tools to manage the full lifecycle of Data Science and ML products, ensuring smooth transitions from development to production.
• Enforce Best Practices: lead & mentorate integration of advanced release management solutions such as automated rollbacks, canary deployments, automated testing, release validation and efficient deployment strategies. 
• Collaborate Across Teams: work closely with data scientists, DevOps engineers and stakeholders to document, refine, and oversee the release process, ensuring clarity and accountability. 
• Drive Cost Efficiency: focus on optimizing the cost-effectiveness and scalability of our release management infrastructure, maximizing ROI and resource utilization.

You should apply if you have most of this:

• 4+ years ​extensive experience in continuous integration (CI) pipelines, automation, and maintaining robust release processes for AI/ML-based services or big data pipelines.
• Demonstrated expertise in test management, test planning, QA engineering, QA automation, functional testing, and end-to-end testing to ensure high-quality releases.
• Deep understanding of cloud environments for AI world, including custom integrations between cloud-based systems.
• Background in Python programming language & associated testing frameworks.
• Proven skills in agile or scrum methodologies to drive projects, including solid skills in documentation and clear communication across diverse teams.

What puts you over the top:

• Knowledge in Kubernetes infrastructure.
• Experience using popular CI/CD dedicated ML frameworks such as MLFlow or other popular AI model lifecycle tools.
• Experience with Databricks or other extract, transform, load (ETL) big data pipelines.
• Problem solver, team player, lifelong learner.

About Integral Ad Science

Integral Ad Science (IAS) is a leading global media measurement and optimization platform that delivers the industry’s most actionable data to drive superior results for the world’s largest advertisers, publishers, and media platforms. IAS’s software provides comprehensive and enriched data that ensures ads are seen by real people in safe and suitable environments, while improving return on ad spend for advertisers and yield for publishers. Our mission is to be the global benchmark for trust and transparency in digital media quality. For more information, visit integralads.com.

Equal Opportunity Employer:

IAS is an equal opportunity employer, committed to our diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We strongly encourage women, people of color, members of the LGBTQIA community, people with disabilities and veterans to apply.

California Applicant Pre-Collection Notice:

We collect personal information (PI) from you in connection with your application for employment or engagement with IAS, including the following categories of PI: identifiers, personal records, commercial information, professional or employment or engagement information, non-public education records, and inferences drawn from your PI. We collect your PI for our purposes, including performing services and operations related to your potential employment or engagement. For additional details or if you have questions, contact us at [email protected].

To learn more about us, please visit http://integralads.com/ 

Attention agency/3rd party recruiters: IAS does not accept any unsolicited resumes or candidate profiles. If you are interested in becoming an IAS recruiting partner, please send an email introducing your company to [email protected]. We will get back to you if there's interest in a partnership.

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