Top Artificial Intelligence Jobs in Pune

The Senior Software Engineer will develop AI/ML features in Fusion, work in Agile teams, manage legacy code, and mentor peers.

Manage AI projects in Banking and Financial Services, focusing on agentic AI initiatives, data management, and digital transformation while employing Agile methodologies.

As an AI Developer Technology Engineer at NVIDIA, you will research and develop innovative AI and machine learning techniques, work with customers on AI solutions, and collaborate with various teams to design cutting-edge architectures and software for GPU applications.

As a Senior Software Engineer, you'll design and build AI-driven solutions, collaborating across teams to meet business objectives, leveraging Python, and cloud technologies, especially AWS.

The Agentic AI Engineer will assist with building AI systems that improve supply chain workflows, working with tools like Python and Java while gaining experience in AI concepts and integration.

Join Autodesk to develop AI-first applications. Responsibilities include designing agentic workflows, utilizing Python, and collaborating to enhance product features.

Join Autodesk's Fusion team to develop AI/ML features in Fusion 360 using C++ and Agile methodologies, ensuring high quality and performance in commercial software applications.

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

Lead the development and operation of Autodesk's AI-first application platform, managing teams and ensuring high standards of delivery and quality.

This role involves designing, developing, and deploying advanced agentic AI systems, ensuring ethical standards, collaborating with teams, and innovating at scale.

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

The Senior Director Analyst develops insights on data management platforms, leads the research agenda, engages clients, and mentors junior analysts, utilizing extensive expertise in data management and AI solutions.

Design, develop, and deploy machine learning models and AI solutions. Collaborate with teams for intelligent automation and conduct research on new AI technologies.

Lead AI initiatives and develop production-grade AI models using Agentic AI frameworks. Oversee Gemini Enterprise solutions, integrate secure systems, and enhance existing capabilities while collaborating across teams.

The MDM Specialist will architect and manage MDM platforms, ensuring data quality and governance while integrating AI workflows, optimizing for performance, and collaborating with business teams.

The MDM Specialist will design and implement master data management solutions, integrate AI workflows, and ensure data governance and quality across customer and vendor domains.

Design and implement production-grade AI models and algorithms, lead AI initiatives across organizations, enhance Agentic AI capabilities, and collaborate with teams to develop high-impact AI features.

The AI/Automation Business Analyst gathers requirements for AI initiatives, designs automation workflows, and creates dashboards to support performance monitoring and optimization.

The AI Manager will lead a global team in AI project delivery, manage AI roadmaps, oversee LLMOps pipelines, and engage with stakeholders while ensuring compliance and performance metrics are met.

The AI QA Specialist will design and execute test strategies for AI systems, validate model outputs, implement monitoring dashboards, and ensure compliance with safety standards.

The role involves managing AI model lifecycles using GCP, implementing RAG pipelines, automating workflows, and ensuring AI observability and compliance.

The AI/Automation Business Analyst will gather requirements, design automation workflows, and create dashboards to support enterprise AI initiatives. The role involves collaborating with stakeholders and ensuring successful delivery of automation solutions.

As an AI/MLOps RAG Specialist, you will manage the lifecycle of AI models, implement MLOps pipelines, and optimize AI performance using GCP services to ensure compliance and reliable AI governance.

As an AI QA Specialist, you will develop and execute test strategies for AI systems, validate outputs, monitor observability, and ensure compliance.

The AI Manager will lead global teams in AI delivery, ensuring strategic alignment with business goals, managing AI solutions, and upholding compliance standards.