Our Purpose :

Mastercard powers economies and empowers people in 200+ countries and territories worldwide.

Together with our customers, were 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

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's ystem health.

What Experience You Need :

- Masters 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.

- 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.