Top Artificial Intelligence Jobs in Pune

The Major Incident Manager coordinates critical incident responses, manages communication with stakeholders, and documents incidents while ensuring adherence to ITIL processes.

As a Reactive Problem Manager, you'll ensure timely resolution of critical IT incidents, lead root cause analyses, and coordinate communication across teams.

The Senior Product Manager will lead AI writing tool development, collaborate across teams, and utilize data for decision-making to enhance user experiences.

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.

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.

Lead the design and deployment of AI/ML solutions for customers, collaborating with cross-functional teams and driving product direction. Mentor junior engineers and ensure compliance with regulations.

The Multi Modal AI Senior Developer will create innovative AI-driven solutions and workflows for diverse creative content types, focusing on automation and integration of AI models and services into enterprise products.

The AI Engineer will build Generative AI applications, collaborate across teams, deploy ML systems, and mentor junior staff.

The Senior Technical Program Manager will drive enterprise-level Data, AI, and ML initiatives, ensuring successful product roll-out and technology adoption while managing scope and aligning with business priorities.

Collaborate within an Agile team to develop, test, and manage functionalities for Compliance applications on Google Cloud. Responsible for data sourcing and algorithms, ensuring code reliability.

Lead innovation and process improvements in testing, integrate AI into QA practices, perform automation scripting, and mentor Quality Engineers.

Responsible for operating as a team member of a Scrum Agile team, designing and developing new functionalities, and ensuring code quality through testing.

Develop and maintain large-scale AI Infrastructure systems, drive reliability and scalability, implement SRE practices, and mentor peers in a collaborative environment.

The AI Tech Lead will strategize and implement AI solutions across the bank, driving business efficiency and enhancing customer experiences through innovative AI and machine learning applications.

Join Autodesk as a Senior Software Engineer to develop AI/ML features for Fusion, collaborating in Agile sprints and mentoring team members.

Join the Fusion team to design and implement AI/ML features, work in an Agile environment using C++ and develop maintainable software solutions.

Lead the evolution of QuillBot's creation suite, driving product roadmap and user experience while collaborating with cross-functional teams to create a multimodal output platform.

Lead architect for AI solutions, overseeing design, implementation, and integration of complex AI systems while mentoring teams and ensuring compliance with AI governance.

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.

The Staff Software Engineer will lead technical efforts in designing and building scalable enterprise IT service management solutions, collaborate with teams, mentor engineers, and ensure high-quality delivery of software solutions.

Design and implement scalable machine learning models, automate tests, and utilize data engineering for actionable insights. Collaborate on AI/ML solutions meeting business needs.

Assist in building scalable data workflows, support AI/ML projects, and contribute to mentor-led development and research on GCP features.

Guide the evaluation phase in the sales process as a Solutions Architect, focusing on data-driven outcomes, architecture design, and customer relationships.