Top Tech Jobs & Startup Jobs in Mumbai

The Senior Engagement Manager will oversee customer engagements in a B2B setting, managing project delivery, technical guidance, team leadership, and alignment on business goals with product teams.

Design and deliver big data pipelines, create cloud migration strategies, troubleshoot distributed systems, and develop solutions for healthcare organizations.

The Architect - Platform role involves designing and maintaining cloud infrastructure, implementing IaC practices, automating processes via CI/CD, and leading teams in an Agile environment.

Design, build, and maintain Snowflake-based data warehouse solutions: ETL/ELT pipelines, data modeling, transformations, data governance, production support, and BI enablement while leading cross-location teams.

Design and implement data models and ETL pipelines on Snowflake; perform data transformation, cleansing, ingestion, and governance. Support production ETL, collaborate with BI teams to build reports, train users, and lead cross-location teams. Drive migrations from on-premise sources to Snowflake and ensure data quality and lineage for analytics.

The Associate Architect - Machine Learning will develop architectures, mentor teams, work on healthcare ML projects, and communicate insights to clients.

The role involves designing scalable backend services using Python, optimizing data models, mentoring junior engineers, and integrating AI applications. Responsibilities also include supporting DevOps initiatives, promoting agile practices, and collaborating with cross-functional teams.

The Senior Engagement Manager is responsible for managing P&L, overseeing project delivery, and leading teams in a B2B environment for Data and AI solutions, ensuring successful client engagement and strategic growth.

The Senior Client Solutions Partner will drive sales of Data Science solutions to Enterprise clients, build business cases, architect solutions, mentor teams, and lead data strategy discussions.

The role involves designing, developing, and optimizing deep learning models for generative drug design, focusing on reinforcement learning and architecture innovation.