Top Tech Jobs & Startup Jobs in Mumbai

As a Senior Software Development Engineer in ML Operations, you will enable pitchbook's ML teams by creating tools for optimizing the Machine Learning Development Life Cycle. You will mentor team members, collaborate in Agile, and support building AI solutions. You are expected to continually enhance AI capabilities while addressing challenges in the MLDLC and evaluating tools for process optimization.

The role involves collaborating with project managers, data analysts, and developers to build technology solutions for Morningstar’s Equity Data collection platforms. Responsibilities include defining automation strategy, developing automation testing frameworks, and mentoring other QAs. Candidates should have 4-6 years of experience in automation QA and proficiency in relevant programming languages and testing tools.

The Senior Data Quality Assurance Engineer will ensure data accuracy and integrity by designing quality frameworks and conducting assessments using advanced statistics. Responsibilities include leveraging AI/ML for anomaly detection, automating processes, mentoring junior analysts, and ensuring compliance with financial regulations.

The Software Engineering Team Lead will manage a team of developers, ensuring effective implementation, delivery, and improvement of digital products. This role involves collaboration with product managers and software architects, overseeing coding standards, and leading development through various stages using Agile methodology.

The Lead QA Automation Engineer will collaborate with the digital products team to ensure that products meet usability and quality standards. Responsibilities include developing automation strategies, executing automated testing scripts, clear communication of defects, risk analysis, mentoring team members, and staying updated with testing tools.

The Manager role involves overseeing a large team, conducting recruitment, coordinating training sessions, and ensuring efficiency in operations. The position requires tracking performance metrics, providing mentorship, and driving process improvement initiatives. Additionally, the manager serves as a key point of communication for team members and collaborates with various stakeholders on automation and ML opportunities.

As a QA Automation Engineer, you will work with the digital products team to ensure high usability and quality standards for products. You will participate in the product lifecycle, create automated testing strategies, execute test scripts, manage defect reports, and mentor team members while staying updated with testing tools and practices.