Top Artificial Intelligence Jobs in Delhi

Lead QA strategy and architect automation for AI products, ensuring quality and influencing best practices across teams. Manage testing methodologies and frameworks.

Responsible for executing supplier strategy, managing full sales cycle, and enhancing customer satisfaction through relationship building and operational excellence.

Lead AI/ML product management, including planning, execution, and delivery of projects. Manage engineering partners and oversee end-to-end product development.

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 role involves using scientific expertise to evaluate AI-driven life science tools, designing criteria for AI solutions, and ensuring alignment with scientific data and customer needs.

The AI Deployment Manager leads implementation and adoption of OpenAI products, focusing on customer satisfaction, training, and technical deployment. They collaborate with various teams to ensure successful deployment and customer outcomes.

The role involves designing and deploying intelligent Voice Agents to solve business problems, ensuring performance and scalability, and collaborating across teams to implement AI-driven solutions.

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.

Develop, deploy, and maintain AI and machine learning models. Utilize frameworks and cloud platforms for AI-based solutions and optimize ETL pipelines. Collaborate and solve complex problems in a global team setting.

Lead the intelligent transformation of operations support functions through AI and data solutions, overseeing hands-on technical delivery and team leadership in AIOps initiatives.

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

The AI Automation Specialist will automate workflows using AI tools, connect them with existing systems, and improve operations across the company.

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