Top Artificial Intelligence Jobs in Pune

Lead the development of Kaseya's data platform and API layer, managing engineering teams and ensuring scalable, reliable systems that support analytics and AI-driven features.

Design, build, fine-tune, and deploy language and document-understanding models; consult stakeholders to frame requirements; develop analytic plans; collaborate with engineers to integrate models; manage multiple projects and present insights to technical and non-technical audiences.

Design and develop software solutions while collaborating with cross-functional teams. Ensure code quality and optimize performance while adhering to secure coding practices.

The AI Lead Engineer will design scalable AI and GenAI systems, lead complex solution designs, and ensure production-grade implementation of AI solutions without formal management.

As a Senior AI Engineer, you will design, develop, and deploy AI solutions, manage AI models, and optimize workflows while collaborating across teams to drive innovation in Private Banking.

The GCP Data & AI Engineer role involves developing data integration pipelines, ensuring data quality, and operationalizing AI solutions such as RAG pipelines while providing L3 support.

Lead the design and implementation of scalable AI systems, providing technical guidance and solving complex problems, ensuring systems' robustness and efficiency.

The AI Engineer will design, develop, and implement scalable AI solutions, focusing on Natural Language Processing and Generative AI, utilizing Python, SQL, and cloud technologies.

The Principal AI Engineer will design and deploy end-to-end AI products, manage customer engineering, and translate complex requirements into technical solutions while ensuring high standards of code quality and deployment efficiency.

Design, develop, and improve software solutions while collaborating with cross-functional teams and adhering to security policies and coding practices.

The Lead Engineer - Applied AI will design, develop, and improve scalable software solutions using advanced AI frameworks and cloud technologies. Responsibilities include code quality assurance, team collaboration, risk management, and aligning projects with business objectives.

The Staff Engineer-Applied AI role involves designing, developing, and improving software solutions, leading GenAI and Agentic AI projects, collaborating with teams, and ensuring code quality and security compliance.

As a Senior Technical Product Manager, lead the development of Autodesk's Knowledge Retrieval Platform, improving discoverability and AI functionality across products. Manage product lifecycle, promote customer value through rapid prototyping, and work with teams to articulate platform value. Define and track relevant quality metrics and manage the product roadmap.

The role involves developing and optimizing a scalable RAG workflow, implementing AI agents, and enhancing pipelines through collaboration while ensuring system performance and accuracy.

An App Engineer will build AI-powered automations and workflows, improve productivity, integrate systems, and collaborate globally to deliver solutions.

The role involves evaluating AI outputs, reviewing text, analyzing multimedia, and providing culturally relevant content in Kannada while ensuring quality and accuracy.

As an AI Expert, you will review and evaluate AI-generated outputs, correct text, analyze multimedia content, and ensure cultural appropriateness and accuracy in the outputs.

The role involves reviewing and evaluating AI-generated content, providing feedback based on cultural appropriateness and clarity, and ensuring high-quality deliverables for AI projects.

The role involves evaluating AI outputs, creating culturally relevant content, spotting issues, and providing structured feedback to improve AI models.

The role involves evaluating AI-generated content, reviewing text, creating annotations, and ensuring quality by applying cultural insights. Candidates must be detail-oriented and fluent in Assamese and English.

This role involves reviewing AI-generated content, ensuring cultural relevance, generating content, and providing assessments to improve AI models. Attention to detail and analytical skills are crucial.

As an AI/ML Engineer, design, develop, and deploy machine learning models and AI solutions for fintech, ensuring integration with cloud platforms and robust data pipelines.

As an AI DevOps Engineer, you will lead AI/ML solution delivery, oversee CI/CD processes, and mentor engineers while ensuring security and scalability of cloud infrastructures.

The AI Prompt Engineer II will design, build, and optimize prompting systems for large language models, develop evaluation frameworks, and improve user interactions while collaborating across teams to enhance AI-driven workflows.

The position involves building and owning product surfaces across the entire stack, mentoring engineers, and making infrastructure decisions for AI-focused projects.