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Mastercard
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Engineering Director

Engineering Director

Mastercard

5 - 9 years

0 Lacs

haryana

Posted:1 day ago| Platform: Shine logo

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Skills Required

python java c sql tuning automation databricks management mlops solutions mlflow cicd tools data observability cloud technologies

Work Mode

On-site

Job Type

Full Time

Job Description

Role Overview: As the MLOps Engineering Director at Horizontal Data Science Enablement Team within SSO Data Science, you will play a crucial role in managing the Databricks platform for the entire organization and leading best practices in MLOps. Your responsibilities will include overseeing the administration, configuration, and maintenance of Databricks clusters and workspaces. You will continuously monitor the clusters for high workloads or excessive usage costs, ensuring the overall health of the clusters and addressing any issues promptly. Implementing and managing security protocols to safeguard sensitive information and facilitating the integration of various data sources into Databricks will be key aspects of your role. Key Responsibilities: - Oversee the administration, configuration, and maintenance of Databricks clusters and workspaces - Continuously monitor clusters for high workloads or excessive usage costs, ensuring overall health and addressing issues promptly - Implement and manage security protocols to safeguard sensitive information - Facilitate the integration of various data sources into Databricks - Collaborate closely with data engineers, data scientists, and stakeholders to support data processing and analytics needs - Maintain comprehensive documentation of Databricks configurations, processes, and best practices - Lead participation in security and architecture reviews - Bring MLOps expertise focusing on areas such as model monitoring, feature catalog/store, model lineage maintenance, and CI/CD pipelines Qualifications Required: - Master's degree in computer science or related field - Strong experience in Databricks management, cloud technologies, and MLOps solutions like MLFlow - Hands-on experience with industry-standard CI/CD tools, data governance processes - Coding proficiency in languages such as Python, Java, and C++ - Systematic problem-solving approach - Excellent communication skills - Sense of ownership and drive Additional Details of the Company: In alignment with Mastercard's corporate security responsibility, you will be expected to adhere to security policies and practices, maintain the confidentiality and integrity of accessed information, report any security violations, and complete mandatory security trainings. By taking on this role, you will contribute to ensuring the efficiency and security of Mastercard's data science operations.,

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Engineering Director