Senior MLOps Engineer-1

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Senior MLOps Engineer-1

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

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 Mastercard’s 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 Mastercard’s guidelines.