Top Tech Jobs & Startup Jobs in Mumbai

The Client Solutions Partner leads pre-sales and solutioning for AI-led contact center transformations, collaborating with stakeholders to shape solutions that modernize customer experience.

The Senior Business Analyst will design user experiences for virtual agents, gather customer requirements, create conversation flows, and act as a liaison between stakeholders and development teams in Conversational AI projects.

Design, develop, and maintain ETL/data pipelines using SSIS; manage and optimize MySQL databases and SQL queries; build and deploy SSRS reports; lead data warehousing and integration efforts; troubleshoot data engineering issues and collaborate with stakeholders.

Design and deliver Agentic AI platforms, manage end-to-end software development, lead teams, and ensure robust DevOps practices.

The Senior Business Analyst will analyze and solve complex problems in the Insurance industry, lead project teams, gather requirements, and develop innovative solutions using advanced analytics and machine learning.

Design, build, and maintain scalable cloud infrastructure and orchestration for a simulated-reality POC. Implement IaC, CI/CD, containerized deployments, automated synthetic data and ML pipelines, monitoring, and infrastructure testing to ensure stable, secure, and production-ready environments.

Responsible for developing and maintaining chatbot applications, collaborating with business partners on requirements, and enhancing chatbot capabilities using AI/NLP technologies.

The role involves leading data migration and modernization strategies, designing scalable AWS solutions, and managing large-scale data projects. Responsibilities include technical leadership, architecture design, project implementation, and mentoring engineers.

The Engagement Manager will oversee client relationships, project delivery, and team management for data and cloud engagements, ensuring successful project execution and team development.

The Associate Architect will lead the development and deployment of machine learning solutions on Azure, manage the ML lifecycle, and optimize existing models while providing technical leadership to project teams.