The AI Platform Team at ServiceNow is looking to democratize AI and Machine Learning internally to help teams build high-value AI/ML products and enable the operationalization and reliability of all AI. They need an MLOps Engineer to help teams maximize their success with the AI Platform, unblocking them technically and from a design standpoint, acting as an internal solution architect and contributing to the MLOps of the Platform.
Requirements
- 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 with MLflow.
- Strong understanding of DevOps principles and practices, CI/CD, etc. and tools (Git, GitHub, jFrog Artifactory, Cloudbees/Jenkins, Terraform, etc.).
- Experience with containerization technologies like Docker and Kubernetes.
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.
- 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.
- Ability to create model inference systems with advanced deployment methods that allow progress rollouts and automated validation.
- Exposure to observability applied to AI and ML.
Other
- 8+ years of related experience with a Bachelor's degree, Masters degree or PhD or equivalent work experience.
- 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.
