Staff MLOps Engineer, ServiceNow
MLOps
$155.8-272.7k
Plus equity (when applicable), variable/incentive compensation + ESPP
Cloud-based digital workflows for enterprises
Be an early applicant
Cloud-based digital workflows for enterprises
1001+ employees
Be an early applicant
$155.8-272.7k
Plus equity (when applicable), variable/incentive compensation + ESPP
1001+ employees
Company mission
To transform IT to revolutionise the enterprise.
Role
Who you are
- Someone that can build and advise
- Someone who can show and not just tell
- 8+ years of related experience with a Bachelor's 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, Draw.io, 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
Desirable
- 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
What the job involves
- 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
- 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
Our take
ServiceNow provides cloud-based solutions that define, structure, manage, and automate services for enterprise operations, transforming old, manual ways of working into modern digital workflows. The company was founded in 2004 with a vision to build a cloud-based platform that would enable regular people to route work effectively through the enterprise.
Much as Salesforce enables a company to manage its external clients by keeping a record of all contacts and interactions, ServiceNow promises an internal system to meet the needs of employees. It has succeeded in claiming half the market, setting itself apart from legacy IT service-management software players like BMC Software, Hewlett Packard Enterprise, Cherwell Software and CA Technologies.
The company's success comes from two product traits: simplicity and customisability. ServiceNow's IT tools don't require the IT department to set them up. Once running, they offer a single collection centre for requests, data points and checklists, all of which can in turn be analysed by algorithms to predict needs, flag concerns and measure efficiency.
The company has more than 7500 customers, including 80% of the Fortune 500 list of the United States' largest corporations. ServiceNow now looks to increase its revenue threefold in upcoming years and has entered into a 5-year partnership plan with Visa, beginning with the launch of a Visa-integrated dispute resolution solution for issuers. The company is prioritising organic growth over mergers and acquisitions, with a target revenue of $15 billion, something which its Visa partnership will no doubt aid in achieving.
Freddie
Company Specialist at Welcome to the Jungle
Insights
16% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Mar 2012
$11m
GROWTH EQUITY VC
Feb 2012
$17.9m
GROWTH EQUITY VC
Total funding: $83.8m
Company benefits
- Commuter benefits
- Annual learning stipends
- Work from home opportunities
- Generous family leave
- Matched donations
- Flexible PTO
- 401(k) matching
- Paid volunteer time
Company HQ
Santa Clara, CA
Leadership
Fred Luddy
(Founder & Chairman Of The Board)Previously Software Developer at Amdahl Corporation for 4 years and CTO at Peregrine Systems for 13 years.
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