Top Artificial Intelligence Jobs in Pune

Manage the AI team operations, oversee project delivery, ensure adherence to governance, optimize workflows, and foster team development and communication.

The AI Engineer will develop and deploy GenAI applications, serve as a technical advisor, and collaborate on strategic initiatives in AI at Databricks.

Design and develop automation workflows using Power Automate and Power Apps, integrate APIs, build chatbots, and ensure SDLC best practices.

Lead the development of scalable backend systems for AI interactions, collaborating with cross-functional teams and mentoring junior engineers.

The role involves using AI tools to create and optimize performance-driven video ads based on creative briefs, focusing on speed and quality.

As an AI Automation Specialist, you will design and implement AI solutions, automate business processes, and collaborate with teams on AI-driven applications.

Lead and manage the AI & Data Science function, set technical strategy, deliver AI solutions, collaborate across teams, and communicate impact to stakeholders.

Develop data-driven models for identity resolution and intent detection, collaborating with engineers to make analytical models actionable in near real time.

As a Go High Level CRM Expert, you will develop AI-driven automation strategies, optimize customer interactions, and improve lead management.

The Content Writer/Ai Editor will create high-quality content while leveraging AI tools for optimization, managing multiple projects, and adhering to brand guidelines.

Lead a team of researchers to develop advanced AI systems, focusing on multimodal models and engaging user experiences. Responsibilities include mentoring, driving research direction, and collaborating with engineering to deploy innovative features.

Design and develop Agentic AI applications, lead teams, integrate AI systems, and ensure compliance with security and privacy standards.

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 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.

The Solutions Architect will guide startup customers in developing and scaling Generative AI applications, collaborating closely with various teams and providing technical advice.

The Senior AI Data Engineer is responsible for designing and implementing AI solutions, managing databases, and collaborating with teams to integrate these solutions into the Teamified platform.

Lead architecture, design, and implementation of AI systems. Collaborate with teams to develop AI features and evaluate model performance. Mentor engineers and oversee technical execution.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

The Senior Staff Engineer will design and implement scalable Generative AI solutions, leveraging advanced AI/ML techniques and various cloud platforms. Responsibilities include architecture, coding, and cross-team collaboration to meet technical requirements and deliver production-ready solutions.

The role involves architecting and implementing scalable Generative AI solutions using cloud services and AI/ML libraries, focusing on prompt engineering and RAG patterns. Responsibilities include translating client requirements into technical designs and collaborating with teams to ensure best practices.

The Senior Staff Engineer will architect and implement Generative AI solutions, lead projects, and ensure high-quality production deployment, leveraging extensive AI/ML expertise.

The Senior Staff Engineer will architect and implement scalable Generative AI solutions, collaborate across teams, and ensure reliable production deployments. Responsibilities include technical design, development of AI pipelines, and refining solutions based on client requirements.

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

The Senior Engineer will develop and deploy machine learning models and workflows, mentor junior engineers, and collaborate with cross-functional teams to improve patient care through innovative solutions.

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.