Top Tech Jobs & Startup Jobs in Mumbai

The IT Support Specialist will resolve employee IT support requests, answer questions about computer systems, diagnose and fix issues, manage service requests, and assist with onboarding by generating sign-ins for new hires. They will also install and update software and hardware as necessary.

The Principal Architect for Data & Cloud will lead the architecture and implementation of complex data solutions on cloud platforms. The role involves overseeing the development of data lakes, warehouses, and integration solutions, as well as driving business transformation projects to migrate on-premise data solutions to cloud environments. Expertise in cloud technologies, data analytics, and machine learning frameworks is essential, alongside strong stakeholder engagement skills.

The Associate Solution Architect role involves designing distributed applications, developing high-performance web services, and producing unit-tested software. Responsibilities include integrating systems, and supervising a small team while promoting growth and innovation within a supportive corporate culture.

The role involves designing distributed applications, implementing architectural trade-offs, and developing reliable, high-performance web services. Responsibilities also include team supervision, coaching, and managing performance, alongside producing high-quality software related to machine learning and data analytics.

The Senior Specialist in Performance Management is responsible for overseeing performance evaluation processes, developing scorecards, collaborating with stakeholders, implementing performance-related policies, and mentoring team members. The role focuses on fostering a performance-driven culture and requires strong analytical skills and experience with HR processes.

The Senior Data Engineer will design and implement data models, ETL workflows, and data integration processes while supporting data governance and maintenance. This role involves working with business stakeholders to create BI solutions and ensure data quality across various systems. Responsibilities include resolving issues, providing production support, and training users.

The Technical Architect - MLE will design, develop, and deploy AI/ML solutions while collaborating with stakeholders and IT teams. Responsibilities include mentoring, delivering projects on time, evaluating technologies, and adhering to Agile methodologies.