Top Artificial Intelligence Jobs in Pune

The role involves designing and implementing generative AI solutions, especially using LLMs and associated architectures, while collaborating with teams.

The Staff Engineer, Generative AI will design and implement AI solutions, focusing on generative AI applications, prompt engineering, and RAG architectures while collaborating with cross-functional teams to meet client requirements.

The role involves designing AI/ML solutions, implementing generative AI applications, and collaborating on architectural decisions with teams to meet client needs.

The Staff Engineer, Generative AI will design solutions for AI applications, implement architectures, manage projects, collaborate with teams, and ensure technical requirements are met.

The ServiceNow Solution Architect - AI leads a team to develop AI-driven applications on the ServiceNow platform, integrating ML and NLP solutions, and managing all development aspects from design to testing.

As a Senior/Staff AI Researcher, you'll lead research on Generative AI, implement algorithms, design models, and work with cross-functional teams to integrate findings into products.

The Technical Lead will design, develop, and maintain scalable backend services and cloud-native solutions, leading a team while driving complex projects involving Generative AI and Azure services.

We are seeking a Senior Full Stack Developer to design and build scalable applications with Generative AI and Azure. Responsibilities include backend development in Python or .NET, front-end development with Angular, and managing CI/CD pipelines.

The Senior Marketing Associate at Upflow will execute marketing campaigns, manage HubSpot operations, support SEO efforts, and integrate AI tools to enhance marketing efficiency.

The role involves creating SEO-driven, AI-assisted content for the Singapore market, focusing on conversions and engagement, while managing an editorial calendar and optimizing content performance.

The Senior AI/ML Engineer focuses on developing digital twin simulations and optimization models to enhance warehouse logistics and operational efficiency.

The Senior Software Engineer will enhance AI infrastructure by developing backend solutions, focusing on voice cloning, scalability, and deploying applications efficiently.

The AI/ML Engineer II role involves developing AI solutions, managing product backlogs, integrating LLMs, and collaborating on automation projects while leading improvements in IT processes.

The AI Engineer will optimize and maintain AI-driven services on the Sootra platform, focusing on LLM/VLM pipelines, API management, and production stability.

The role involves designing, training, and deploying machine learning models, integrating LLMs, and implementing MLOps best practices. Collaboration with cross-functional teams is essential to drive AI initiatives.

The Billing Associate will manage outbound insurance tasks, ensure AI performance, and support insurance setups while collaborating on product development.

Edit videos for social platforms utilizing AI tools and VFX. Collaborate with creative directors on projects, integrating AI characters and maintaining brand consistency across edits.

The Senior AI Engineer will design, build, and operate systems, collaborate with users, and apply AI to improve outcomes while managing projects end-to-end.

Design and develop AI-powered features using Spring.AI, implement AI workflows, build scalable RESTful APIs, and manage vector databases for enterprise applications.

The role involves leading the implementation of Workday modules and AI applications, ensuring data integrity, compliance, and enhancing HR operations with technology.

The role involves designing advanced AI-driven solutions, mentoring teams, collaborating on architecture, and building intelligent AI agents using various technologies.

The AI Developer will design, train, optimize, and deploy LLM models, focusing on backend and machine learning engineering in offline environments. Responsibilities include fine-tuning models, implementing data workflows, managing inference systems, and building backend services.

Develop and operationalize AI and ML products, focusing on LLM integration and monitoring, and collaborate with engineering teams for production integration.

The AI Strategist will lead strategic enterprise accounts, shape AI strategies, engage with C-level executives, and collaborate cross-functionally to drive AI adoption.

The Principal AI Architect leads AI strategy, engages clients in workshops, designs AI solutions, and ensures best practices for AI implementation.