At ServiceNow, our technology makes the world work for everyone, and our people make it possible. We move fast because the world can’t wait, and we innovate in ways no one else can for our customers and communities. By joining ServiceNow, you are part of an ambitious team of change makers who have a restless curiosity and a drive for ingenuity. We know that your best work happens when you live your best life and share your unique talents, so we do everything we can to make that possible. We dream big together, supporting each other to make our individual and collective dreams come true. The future is ours, and it starts with you. With more than 7,700+ customers, we serve approximately 85% of the Fortune 500®, and we're proud to be one of FORTUNE 100 Best Companies to Work For® and World's Most Admired Companies™.Learn more on Life at Now blog (https://blogs.servicenow.com/category/life-at-now.html) and hear from our employees (https://www.youtube.com/playlist?list=PLtPPHGXvJpmhypERyQKm5zO2Wd65QinB) about their experiences working at ServiceNow.Unsure if you meet all the qualifications of a job description but are deeply excited about the role? We still encourage you to apply! At ServiceNow, we are committed to creating an inclusive environment where all voices are heard, valued, and respected. We welcome all candidates, including individuals from non-traditional, varied backgrounds, that might not come from a typical path connected to this role. We believe skills and experience are transferrable, and the desire to dream big makes for great candidates.What you get to do in this role:The MLOps Platform Team works within the Enterprise Data and Analytics Organization at ServiceNow. Driving the ability to work with Internal Teams to be able to support the full life-cycle of AI and machine learning development through to beyond production. Helping build a platform that enables data driven decisions across the enterprise, helping teams build high-value data and AI/ML products, and enable the operationalization and reliability of all models. We are searching for a driven and highly skilled MLOps Engineer to join our MLOps Platform team at ServiceNow. The role will build the MLOps Platform, build self-service ML Development tooling, and building platform adoption. You have ideas on how to create a great user experience for those building, deploying, and operationalizing production quality Machine Learning models. We have a team of people just as excited. Join us.Responsibilities:
Define scalable and secure architectures, frameworks and pipelines for building, deploying and diagnosing production ML applications
Enable users & teams on the ML platform; troubleshoot and debug user issues; maintain user-friendly documentation and training.
Collaborate with internal stakeholders to build a comprehensive MLOps Platform
Design and implement cloud solutions and build MLOps pipelines on cloud solutions (e.g., MS Azure)
Develop standards and examples to accelerate the productivity of data science teams.
Run code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality, including data & concept drift
Create way to automate the testing, validation, and deployment of data science models
Mentor Junior MLOps Engineers and be responsible for the technical delivery of a team of engineers.
Perform one-on-ones regularly with a group of designated engineers.
Provide best practices and execute POC for automated and efficient MLOps at scale
To be successful in this role you have:Requirements:
12+ years of related experience with a Bachelor's degree; or 10 years and a Master's degree; or a PhD with 8 years' experience; or equivalent work experience
10+ years of experience working with an object-oriented programming language (Scala, Python, Java, C/C etc.)
Experience with MLOps frameworks like MLflow, Kubeflow, etc.
Proficiency in programming (Python, R, SQL)
Ability to design and implement cloud solutions and build MLOps pipelines on cloud solutions (e.g., MS Azure)
Strong understanding of DevOps principles and practices, CI/CD, etc. and tools (Git, GitHub, jFrog Artifactory, Cloudbees/Jenkins, Azure DevOps, Airflow, etc.)
Experience with containerization technologies like Docker and Kubernetes
Strong communication and collaboration skills
Ability to mentor a team and ensure the technical delivery of a team.
Ability to help work with a team to create User Stories and Tasks out of higher level requirements.
Preferred:
Ability to create model inference systems with advanced deployment methods that integrate with other MLOps components like MLFlow.
Knowledge of inference systems like Seldon, Kubeflow, etc.
Knowledge of deploying applications and systems in Kubernetes using Helm and Helmfile.
Knowledge of infrastructure orchestration using Terragrunt and Terraform
Exposure to enterprise feature stores (such as Feathr, Feast, Tecton, etc.)
Exposure to observability tools (such as Evidently AI, W
FD21#DTjobsServiceNow is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status or any other category protected by law.At ServiceNow, we lead with flexibility and trust in our distributed world of work. Click here (https://www.servicenow.com/content/dam/servicenow-assets/public/en-us/doc-type/other-document/careers/new-world-of-work-personas.pdf) to learn about our work personas: flexible, remote and required-in-office.If you require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact us at talent.acquisition@servicenow.com for assistance.For positions requiring access to technical data subject to export control regulations, including Export Administration Regulations (EAR), ServiceNow may have to obtain export licensing approval from the U.S. Government for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by the U.S. Government.Please Note: Fraudulent job postings/job scams are increasingly common. Click here (https://www.servicenow.com/fraudulent-job-scams.html) to learn what to watch out for and how to protect yourself. All genuine ServiceNow job postings can be found through the ServiceNow Careers site (https://www.servicenow.com/careers.html) .From Fortune. © 2022 Fortune Media IP Limited All rights reserved. Used under license.Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of, ServiceNow.
