Machine Learning Engineer

Job Description:We are looking for a Machine Learning Operations Engineer to join our MLOps team. If you are excited by technology that has the power to handle hundreds of thousands of transactions per second; run machine learning in production on the full web, then IAS is the place for you!As a Machine Learning Ops Engineer, you will work with the Data science team and Machine Learning team to design and implement data pipelines, build and run models into large scale production system.What you'll get to do:Design the data pipelines and engineering infrastructure to support our machine learning systems at scaleDevelop and deploy scalable tools and services to handle machine learning training and inferenceApply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc.Facilitate the development and deployment of proof-of-concept machine learning systemsCommunicate with machine learning researcher, data scientists, data engineers and architect and document the processesData science models testing, validation and tests automationYou should apply if you have most of this:5+ years experience in a backend/microservices developer role in an Agile Scrum environmentStrong software engineering skills in complex multi language systemsExperience building custom integration between cloud based systemsExperience developing with containers and Kubernetes in cloud computing environmentsExperience with writing unit and integration tests for the application code you work onBasic knowledge of RESTful systems, Object-Oriented design, Design Patterns, Data Structures and AlgorithmsWhat puts you over the top:Experience with DatabricksKnowledge of Machine Learning approaches and modeling frameworks (PyTorch, Tensorflow, Keras, ...)Ability to understand tools used by data scientistsExperience in using popular MLOps frameworks like MLFlow, Kubeflow, ...Strong communication skills, to be able to articulate solutions to other team members and even non-technical peopleProblem solver, team player, lifelong learnerAbout Integral Ad Science Integral Ad Science (IAS) is a global leader in digital media quality. IAS makes every impression count, ensuring that ads are viewable by real people, in safe and suitable environments, activating contextual targeting, and driving supply path optimization.Our mission is to be the global benchmark for trust and transparency in digital media quality for the world’s leading brands, publishers, and platforms. We do this through data-driven technologies with actionable real-time signals and insight. Founded in 2009 and headquartered in New York, IAS works with thousands of top advertisers and premium publishers worldwide. For more information, visit integralads.com or email us at careers@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 compliance@integralads.com.To learn more about us, please visit http://integralads.com/ and https://muse.cm/2t8eGlNAttention 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 recruitingagencies@integralads.com. We will get back to you if there's interest in a partnership.#LI-Hybrid