Top Tech Jobs & Startup Jobs in Mumbai

The Senior Data Scientist will leverage machine learning and NLP to enhance data insights, improve decision-making, and deliver scalable AI/ML systems, collaborating with global teams for product integration and following best practices in model performance.

The Analyst will support cash flow analysis in mortgage-backed securities, develop tools in Python, SQL, and VBA, and analyze credit risks.

The Senior Employee Support Analyst will assist users with product issues, manage applications, build knowledge bases, and improve software. Requires strong communication and troubleshooting skills.

Lead data quality assurance efforts by applying statistical expertise, AI/ML algorithms, and automation techniques to enhance data integrity and support financial analysis. Collaborate with cross-functional teams while mentoring junior members.

The Senior Data Product Manager focuses on developing data products to benefit business strategies, ensuring user-centric designs, governance, and collaboration across teams, while mentoring peers.

The Machine Learning Operations Engineer will develop and maintain AI systems, focusing on production-grade ML infrastructure, including APIs and CI/CD pipelines, while ensuring the reliability of deployed ML services.

The Lead Machine Learning Engineer designs and builds ML systems for data processing, utilizing NLP, LLMs, and cloud services to innovate AI solutions and lead cross-functional teams.

The Employee Technology Support Analyst manages desktop and laptop support for over 4,000 employees, ensuring a strong user experience, conducting complex troubleshooting, and working with various IT tools and services.

The QA Automation Engineer ensures quality in digital products through automation and manual testing, collaborating closely with the product team and maintaining QA best practices.

The Atlassian Administrator manages JIRA and Confluence, maintains systems, develops JQL, supports Active Directory and Office 365, and adapts to tasks with minimal supervision.