Top Artificial Intelligence Jobs in Mumbai

Lead the development of multi-agent applications, manage complex workflows, and integrate AI into products using advanced software engineering techniques.

The role involves creating engaging digital learning content using AI tools, overseeing multimedia production, and ensuring high-quality training templates.

Design and implement AI and ML solutions for fixed income strategies, collaborate with engineers, and evaluate models for performance while ensuring compliance with AI standards.

The AI Engineer will design and deploy AI agents, develop LLMs, build robust model pipelines, and integrate solutions while ensuring compliance and performance optimization.

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 Account Executive will drive revenue growth in enterprise accounts within manufacturing by leading complex engagements, building relationships with CEOs, and managing a sales team.

The role involves solving complex problems using AI and ML. Responsibilities include creating solutions and managing small teams while collaborating with various stakeholders.

As an AI / ML Engineer, you'll develop applications utilizing AI tools, apply GenAI models, and ensure high-quality production pipelines, focusing on machine learning operations and collaborating with teams to enhance performance.

As a Principal Software Engineer, you will lead the design of complex backend systems, focusing on reliability, performance, and the implementation of Agentic AI capabilities while guiding team members and ensuring adherence to engineering excellence.

As a Principal Software Engineer, you'll lead the design and implementation of backend systems, advancing Agentic AI capabilities and optimizing microservices across cloud environments while providing technical leadership to the team.

As a Senior Software Engineer, you'll develop backend systems using Python and Java, ensure their reliability, and maintain performance and efficiency while collaborating with the team on microservices and coding best practices.

As a Software Engineer 2, you'll develop backend services using Python or Java, contribute to feature development, and ensure code quality with comprehensive testing.

Lead AI initiatives by collaborating with data teams, building AI solutions, and enhancing business processes through analytics and automation.

This role involves designing AI-powered research applications, collaborating with investors, optimizing AI systems, and driving application development in investment management.

The role involves determining Risk Weighted Assets for Counterparty Credit Risk, ensuring compliance with regulations, and overseeing the governance and calculation processes for Derivatives RWA.

The role involves developing AI solutions, data pipelines, web applications, and collaborating with teams to integrate AI models into production solutions, ensuring best practices.

The Senior Manager, QA/User Testing will lead AI-driven user testing initiatives, ensuring quality, usability, and compliance for AI solutions, while managing testing strategies, stakeholder communication, and regulatory adherence.

The Senior Business Development Manager will drive AI growth strategies, collaborating with teams and engaging C-level customers to enhance market success and execute initiatives.

Oversee AI-driven platform's design and implementation, focusing on large-scale document extraction and modernizing workflows with advanced language models.

As an annotator, you'll review, label, and classify Japanese content for AI projects, ensuring accuracy and adherence to guidelines. Tasks are project-based and depend on availability.

The role involves developing and deploying ServiceNow CSM features using AI technologies, collaborating across teams to enhance customer workflows, and managing integrations and user experience in a high-energy environment.

As a Manager 2 in Generative AI Engineering, you will lead a team to deliver Generative AI features, build and operate AI systems, and manage team execution. Ensure high quality and reliability of deliverables while mentoring engineers and collaborating with cross-functional teams.

As a Principal AI Quality Lead, you will establish automated evaluation frameworks and quality standards for AI systems, ensuring reliability and safety. You'll design pipelines, metrics, and methods for continuous evaluation and collaborate with engineering teams to embed quality practices in the development lifecycle.

As a Senior AI Engineer, you'll build and productionize AI systems using LLMs, develop intelligent agents, and optimize user interactions through automation.

Lead the technical vision and implementation of core platforms, architecting scalable applications with AI integration. Mentor teams and ensure best practices in design and development.