Job Title:

Senior MLOps Engineer-1

Overview:

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

All about you:
Assist in the administration, configuration, and maintenance of Databricks clusters and workspaces.
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.
Assist in development of MLOps solutions, 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
Maintain services once they are live by measuring and monitoring availability, latency and overall system health. 

What experience you need:
Master’s degree in computer science, software engineering, or a similar field. 
Strong experience with Databricks and its management of roles and resources
Experience with MLOps solutions like MLFlow
Experience with performing data analysis, data observability, data ingestion and data integration. 
2+ DevOps, SRE, or general systems engineering experience. 
2+ years of hands-on experience in industry standard CI/CD tools like Git/BitBucket, Jenkins, Maven, Artifactory, and Chef. 
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
What could set you apart 
•   SQL tuning experience. 
•  Strong automation experience
•  Ability to operate in a 24x7 environment encompassing global time zones

To find US Salary Ranges, visit People Place. Under the Compensation tab, select "Salary Structures." Within the text of "Salary Structures," click on the link "salary structures 2025," through which you will be able to access the salary ranges for each Mastercard job family. For more information regarding US benefits, visit People Place and review the Benefits tab and the Time Off & Leave tab.