Staff MLOps Engineer

What you get to do in this role:

The AI Platform Team works within the Enterprise Data and Analytics Organization at ServiceNow.  We are driving the ability to democratize AI and Machine Learning to unleash the internal organizations within ServiceNow to help teams build high-value AI/ML products and enable the operationalization and reliability of all AI. We are searching for a driven and highly skilled MLOps Engineer to join our AI Platform team at ServiceNow. The role will help work with teams that use our AI Platform to maximize their chance of success and help unblock them from a technical and design standpoint.  We view this as an internal solution architect that can contribute towards the MLOps of the Platform when needed.  Someone that can build and advise.  Someone who can show and not just tell.

Responsibilities:

• Design scalable secure and maintainable code architectures frameworks and pipelines.
• Enable users & teams on the AI Platform; troubleshoot and debug user issues; maintain user-friendly documentation and training.
• Help to collaborate with teams across the business to ensure they maximize their success using the AI Platform.
• Design and implement cloud solutions and build AI pipelines on cloud solutions (e.g. MS Azure)
• Develop standards and examples to accelerate the productivity of data science teams.
• Write code refactoring optimizing containerization deployment versioning and monitoring of its quality including data & concept drift.

Qualifications :

Requirements:

• 8 years of related experience with a Bachelors degree Masters degree or PhD or equivalent work experience.
• 8 years of experience working with an object-oriented programming language (Scala Python Java C/C etc.)
• Ability to design and implement MLOps with Databricks.
• Strong knowledge of Python standard libraries and productionalizing Python libraries and applications (command-line etc).
• Experience with Git and GitHub
• Experience using diagraming tools (Lucidchart Vizio) for designing documenting and discussing technical solutions.
• Strong communication and collaboration skills.
• Ability to mentor engineers and help them become better.
• Ability to help work with a team to create User Stories and Tasks out of higher level requirements.

Preferred:

• Masters and/or PHD degree preferred.
• Experience with MLflow.
• Strong understanding of DevOps principles and practices CI/CD etc. and tools (Git GitHub jFrog Artifactory Cloudbees/Jenkins Terraform etc.).
• Ability to create model inference systems with advanced deployment methods that allow progress rollouts and automated validation.
• Knowledge of inference systems.
• Experience with containerization technologies like Docker and Kubernetes.
• Knowledge of infrastructure orchestration using Terragrunt and Terraform.
• Exposure to building and using feature stores.
• Exposure to observability applied to AI and ML.

For positions in this location we offer a base pay of $155800 - $272700 plus equity (when applicable) variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline and individual total compensation will vary based on factors such as qualifications skill level competencies and work location. We also offer health plans including flexible spending accounts a 401(k) Plan with company match ESPP matching donations a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.

Additional Information :

Work Personas

We approach our distributed world of work with flexibility and trust. Work personas (flexible remote or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.

Equal Opportunity Employer

ServiceNow is an equal 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 addition all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. 

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process or are unable to use this online application and need an alternative method to apply please contact for assistance. 

Export Control Regulations

For positions requiring access to controlled technology subject to export control regulations including the U.S. Export Administration Regulations (EAR) ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. 

From Fortune. 2025 Fortune Media IP Limited. All rights reserved. Used under license. 

Remote Work :

No

Employment Type :

Full-time