Top Artificial Intelligence Jobs in Delhi

Join Welo Data to help shape AI with language data, focusing on annotation, evaluation, and prompt creation. Requires fluency in Telugu and English proficiency.

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

Lead the global internal communications strategy for AI at NTT DATA, crafting compelling narratives and managing campaigns to engage employees across a diverse workforce.

The role involves owning the QA lifecycle for AI products, including test planning and execution across different platforms, ensuring quality and performance through automation and exploratory testing.

The role involves building and integrating LLM-powered systems, requiring expertise in Python, agent frameworks, and modern API development.

Join Welo Data to contribute to inclusive AI through language data tasks like annotation, evaluation, and prompt creation. Remote work with flexible hours.

Lead the development and expansion of AI initiatives at HighLevel, driving strategy, product planning, stakeholder communication, and performance analysis to enhance AI product adoption and revenue.

The Engineering Manager - AI Growth leads engineering for AI product adoption and growth, managing monetisation tech and collaborating across teams for product success.

Lead the QA strategy and architect automation frameworks for AI products. Design test approaches for AI models, influence teams, and drive quality initiatives.

SDE3 will build and scale Generative AI products, implement features end-to-end, design architecture, and lead development teams while ensuring high coding standards.

Join a community of linguists and contribute to AI through annotation, evaluation, and prompt creation in a flexible, remote role.

Develop and maintain full stack web applications integrating AI/ML models. Collaborate with teams to ensure performance, security, and responsiveness while following coding best practices.

The Engineering Manager will lead Generative AI teams, focusing on AI solutions for conversations, workflows, voice, support, and platform development, while mentoring engineers and driving performance and innovation.

Lead the planning and execution of test strategies, develop automated test suites for UI and API, and mentor junior team members.

The Principal Software Engineer, AI will lead AI innovation at AlphaSense, developing scalable services for processing unstructured data and mentoring technical teams.

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

The AI Process Automation Engineer will design and develop automation tools and integrations, optimizing workflows using AI-driven solutions while collaborating with cross-functional teams.

As a Zoom AI DevOps Engineer, you'll design AWS infrastructure, implement Infrastructure as Code, manage deployments, and ensure system reliability and performance.

Lead and mentor a team of engineers, oversee development processes, drive ML initiatives, and collaborate globally on the Domain Search platform.

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

As a Senior Marketing Associate, you will execute marketing campaigns using HubSpot, partner on outbound initiatives, support SEO efforts, maintain tech stack, and integrate AI tools to automate processes.

Lead the design and implementation of data infrastructure for analytics and AI; manage ETL solutions and Master Data Management; mentor data engineering team.

Join the AI Factory team to develop ML solutions that enhance patient care. Collaborate with cross-functional teams, mentor juniors, and innovate machine learning algorithms in a production environment.

Develop AI and ML models to enhance patient care, collaborate with cross-functional teams, mentor junior engineers, and explore new ML techniques.