MLOps Engineering Director

Title and Summary

MLOps Engineering DirectorOverview:

Horizontal Data Science Enablement Team within SSO Data Science is looking for a MLOps Engineering Director who can help solve MLOps problems, manage the Databricks platform for the entire organization, build CI/CD or automation pipelines, and lead best practices.

Role and responsibilities:

Oversee the administration, configuration, and maintenance of Databricks clusters and workspaces.

Continuously monitor Databricks clusters for high workloads or excessive usage costs, and promptly alert relevant stakeholders to address issues impacting overall cluster health.

Implement and manage security protocols, including access controls and data encryption, to safeguard sensitive information in adherence with Mastercard standards.

Facilitate the integration of various data sources into Databricks, ensuring seamless data flow and consistency.

Identify and resolve issues related to Databricks infrastructure, providing timely support to users and stakeholders.

Work closely with data engineers, data scientists, and other stakeholders to support their data processing and analytics needs.

Maintain comprehensive documentation of Databricks configurations, processes, and best practices and lead participation in security and architecture reviews of the infrastructure

Bring MLOps expertise to the table, namely within the scope of, but not limited to:

Model monitoring

Feature catalog/store

Model lineage maintenance

CI/CD pipelines to gatekeep model lifecycle from development to production

Own and maintain MLOps solutions either by leveraging open-sourced solutions or with a 3rd party vendor

Build LLMOps pipelines using open-source solutions. Recommend alternatives and onboard products to the solution

Maintain services once they are live by measuring and monitoring availability, latency and overallsystem health.

Manage a small team of MLOps engineers

All about you:

Masters degree in computer science, software engineering, or a similar field.

Strong experience with Databricks and its management of roles and resources

Experience in cloud technologies and operations

Experience supporting APIs and Cloud technologies

Experience with MLOps solutions like MLFlow

Experience with performing data analysis, data observability, data ingestion and data integration.

7+ Yrs DevOps, SRE, or general systems engineering experience.

5+ years of hands-on experience in industry standard CI/CD tools like Git/BitBucket, Jenkins,Maven, Artifactory, and Chef.

Experience architecting and implementing data governance processes and tooling (such as datacatalogs, lineage tools, role-based access control, PII handling)

Strong coding ability in Python or other languages like Java, and C++, plus a solid grasp of SQL fundamentals

Systematic problem-solving approach, coupled with strong communication skills and a sense ofownership and drive.

What could set you apart:

SQL tuning experience.

Strong automation experience

Strong Data Observability experience.

Operations experience in supporting highly scalable systems.

Ability to operate in a 24x7 environment encompassing global time zones

Self-Motivating and creatively solves software problems and effectively keep the lights on for modeling systems.

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

• Abide by Mastercards security policies and practices;
• Ensure the confidentiality and integrity of the information being accessed;
• Report any suspected information security violation or breach, and
• Complete all periodic mandatory security trainings in accordance with Mastercards guidelines.