Top Tech Jobs & Startup Jobs in Mumbai

The Senior Machine Learning Engineer will lead the design, development, and optimization of ML/NLP solutions for data extraction, enhance system reliability, and collaborate with cross-functional teams to improve product impact and performance.

The Lead Quantitative Analyst develops investment indexes, collaborates with research teams, and utilizes analytical skills for product management and marketing efforts.

Design, build, and scale ML and GenAI systems. Own end-to-end ML solution lifecycle, including deployment, monitoring, and continuous improvement. Mentor junior engineers and ensure scalable architecture and system reliability.

The Engineering Manager will lead a software engineering team, focusing on dataset migration and developing scalable, maintainable systems using Java and React.js. Responsibilities include hands-on coding, team enablement, architecture discussions, and coordinating project schedules.

Design and develop scalable web and enterprise solutions, improve data flows and database design, enforce agile practices, and introduce innovative frameworks while also developing and leading junior peers.

The Engineering Manager will lead AI & ML initiatives focused on data collection, overseeing technical projects and developing a high-performing team. Responsibilities include providing technical direction, mentoring staff, ensuring system reliability, and maintaining data integrity and security. The role requires expertise in NLP and data processing with an emphasis on collaborative leadership and continuous innovation.

The Senior Product Manager will oversee product execution for managed accounts, mentor junior managers, collaborate across teams, and drive product strategy based on market research and data-driven decisions.

As a Product Consultant, manage client communication, assist with technical troubleshooting, and provide feedback to product management while staying updated on software changes.

The role involves supporting month-end processes, regulatory reporting and controllership functions, and providing financial analysis to Wealth operational teams. It requires collaboration with compliance teams and understanding FCA reporting requirements.

The Talent Associate will support early career programs and manage onboarding, upskilling, and career development for high-potential employees while collaborating with various teams.