Top Tech Jobs & Startup Jobs in Pune

As a Software Engineer II at Mastercard, you will own software delivery tasks including code development, testing, and deployment, while ensuring high code quality through troubleshooting and refactoring. You'll adopt new languages and architectural patterns, participate in agile processes, assist in technical documentation, and contribute to team decisions, all while supporting and mentoring less experienced team members.

The Director of Product Management will oversee the Targeting Analytics product suite at Mastercard. Responsibilities include developing product strategies, collaborating with cross-functional teams, and guiding product lifecycle management. The role entails building analytics-based products and ensuring alignment with market demands while driving user-centric design principles.

The Engineering Manager will lead the Mastercard Data Warehouse team in designing and developing secure, scalable software solutions for cloud data platforms like Snowflake and Databricks, while managing a skilled team and ensuring adherence to industry standards and agile processes.

The Senior Specialist in Product Management at Mastercard is responsible for managing customer-facing channels, including mobile apps and websites. The role involves product lifecycle management, enhancing user experience, delivering digital platforms, data analytics reporting, and collaborating with regional teams to implement best practices for digital execution.

The Lead Data Scientist is responsible for developing and managing AI and machine learning models, creating data analytics solutions for large datasets in business and finance. They work closely with business owners on performance metrics, build cohesive datasets, optimize data pipelines, and drive continuous improvement of models.

The Director of Software Engineering oversees multiple software engineering teams, providing strategic leadership, managing project scopes, and ensuring staff development. The role involves recommending policy changes, approving operational processes, and delivering presentations to executives. Core technical skills include extensive experience with Java and Spring technologies, along with leadership in delivering enterprise-scale software solutions.

The Senior Machine Learning Engineer will lead efforts in operationalizing and scaling ML/AI applications, collaborate with data scientists to solve business problems, transform and enhance data science prototypes, manage and develop applications on Linux environments, perform statistical analyses, and train ML models while ensuring effective data visualization and deployment.