Top Artificial Intelligence Jobs in Mumbai

Lead the sales technology strategy and manage product lifecycle for CRM and sales automation platforms. Collaborate with various stakeholders to implement solutions, drive digital adoption, and enable data-driven decision making.

The role involves leading AI initiatives for the Alpha Generation platform, focusing on designing and delivering advanced AI capabilities and automation while ensuring reliability and compliance in engineering practices.

The role requires strong project management and data analysis skills with a focus on technology and AI in the banking sector.

This role involves designing and developing AI-powered research applications for investment management, partnering with investors to integrate AI into workflows, and managing the complete application development lifecycle.

The Senior Software Engineer will develop and maintain AI agents and applications, modernize platforms, and enhance product experiences using various AI tools, while following Agile methodologies.

The Senior - Digital Government Advisory role requires expertise in business requirements, functional documentation, and technology integration, focusing on AI and database tools.

The Academics Manager will lead K-12 curriculum development in STEM fields, ensuring pedagogical robustness and alignment with educational standards.

The role involves driving national revenue growth in enterprise sales, managing complex engagements, and building relationships with senior executives in the manufacturing sector.

As a Senior ML & AI Engineer, you'll design, build, and deploy machine learning and AI solutions, optimizing model performance and collaborating with teams throughout the full project lifecycle.

Lead the software development lifecycle, design and implement backend services using Java and Scala, leverage AWS, and mentor junior engineers.

The Executive Director will lead the Data Services function in Finance, ensuring data quality and governance while managing a large team and aligning with stakeholders.

The Principal AI Engineer leads technical direction and architecture for AI services, focusing on scalable platforms, LLM, ML inference, and CI/CD automation. Responsibilities include designing systems, ensuring reliability, and collaboration with teams for AI product delivery.

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 Applied AI Engineer will design and build agentic systems that automate insights into results, collaborating with teams to ensure systems are effective, reliable, and integrated with current AI tools.

Seeking a Product Owner with experience in Java, Python, Springboot, AWS, and Artificial Intelligence to manage product development.

Assist in defining product requirements, engaging with teams, and conducting end-user research for an AI-based product. Communicate insights and metrics effectively.

The Lead AI Engineer designs and delivers AI/ML and Generative AI solutions for banking platforms, integrating data and enabling AI-driven decisions.

The Senior Enterprise Systems Engineer will design and maintain scalable cloud infrastructure, automate processes using IaC with Terraform, drive reliability measures, and ensure collaboration across teams for operational efficiency.

Design and deliver AI/ML and Generative AI solutions for banking platforms by developing AI models, data pipelines, and integrating AI capabilities into enterprise systems.

Design and implement Generative AI solutions to improve operational efficiency. Collaborate with teams to identify opportunities and ensure data governance.

Develop and maintain full stack applications integrating AI models and financial datasets. Collaborate with teams to deliver secure, responsive web applications using modern technologies.

Lead business analysis lifecycle for AI programs and digital transformations, collaborating with C-suite to align tech with revenue goals.

The Account Executive will drive national revenue growth for large enterprise accounts, lead complex multi-stakeholder engagements, and build relationships with senior leadership, focusing on digital transformation initiatives in the manufacturing sector.

The Account Executive will drive national revenue growth in large enterprise accounts, manage multi-stakeholder engagements, and mentor a sales team for digital transformation initiatives.

The AI Engineer will develop and implement AI models, optimize performance, manage data handling, and collaborate with teams to align solutions with business goals.