5.0 - 9.0 years

0 Lacs

haryana

On-site

As the MLOps Engineering Director at Horizontal Data Science Enablement Team within SSO Data Science, you will play a crucial role in solving MLOps challenges, overseeing the Databricks platform, building CI/CD pipelines, and leading best practices. Your responsibilities will include the administration, configuration, and maintenance of Databricks clusters and workspaces. It will be essential to continuously monitor clusters for high workloads or excessive costs and alert relevant stakeholders promptly to maintain overall cluster health. Implementing and managing security protocols, including access controls and data encryption, to adhere to Mastercard standards will be a key aspect of your role. You will be responsible for integrating various data sources into Databricks to ensure seamless data flow and consistency. Resolving issues related to Databricks infrastructure, providing support to users and stakeholders, maintaining documentation of configurations, processes, and best practices, and leading security and architecture reviews will also be part of your responsibilities. Bringing MLOps expertise to the table will involve activities such as model monitoring, feature catalog/store, model lineage maintenance, and CI/CD pipeline management. You will also own and maintain MLOps solutions, build LLMOps pipelines, and manage a small team of MLOps engineers. To excel in this role, a Master's degree in computer science or a related field, strong experience with Databricks, cloud technologies, MLOps solutions like MLFlow, and hands-on experience in CI/CD tools are required. Additionally, you should have experience in data analysis, data observability, data ingestion, data integration, and system engineering. Strong coding skills in Python or other languages like Java and C++, along with a systematic problem-solving approach and effective communication skills, will be essential. Experience with SQL tuning, automation, data observability, and supporting highly scalable systems can set you apart. Operating in a 24x7 environment and being self-motivated to creatively solve software problems will be valuable assets in this role. As part of your corporate security responsibility, you are expected to abide by Mastercard's security policies, ensure information confidentiality and integrity, report any security violations, and complete mandatory security training.,

Posted 1 day ago

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Engineering Director Mastercard

5.0 - 9.0 years

0 Lacs

haryana

On-site

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. Collaborating closely with data engineers, data scientists, and stakeholders, you will provide support for data processing and analytics needs. Maintaining comprehensive documentation of Databricks configurations, processes, and best practices, as well as leading participation in security and architecture reviews, will be part of your responsibilities. Additionally, you will bring MLOps expertise to the table by focusing on areas such as model monitoring, feature catalog/store, model lineage maintenance, and CI/CD pipelines. To excel in this role, you should possess a Master's degree in computer science or a related field, along with strong experience in Databricks management, cloud technologies, and MLOps solutions like MLFlow. Your background should include hands-on experience with industry-standard CI/CD tools, data governance processes, and coding proficiency in languages such as Python, Java, and C++. A systematic problem-solving approach, excellent communication skills, and a sense of ownership and drive are essential qualities for success in this position. Moreover, your ability to set yourself apart will be demonstrated through your experience in SQL tuning, automation, data observability, and supporting highly scalable systems. Operating in a 24x7 environment, self-motivation, creativity in solving software problems, and ensuring system availability across global time zones will further enhance your profile for this role. 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.,

Posted 4 days ago

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