The Senior MLOps Engineer will manage Databricks infrastructure, develop MLOps solutions, oversee CI/CD pipelines, and ensure data integration and security compliance.
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-2
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:
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-2
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.
Top Skills
Artifactory
Bitbucket
C++
Chef
Databricks
Git
Java
Jenkins
Maven
Mlflow
Python
SQL
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What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
