Top Artificial Intelligence Jobs in Delhi

Develop and maintain web interfaces, validate AI-generated code, and provide feedback on UI/UX. Collaborate with project coordinators for task delivery.

The Senior AI Infrastructure & Platform Engineer will build and optimize GPU-based AI infrastructures, manage deployments, and collaborate with data science teams to ensure efficient operations.

Develop AI-driven analytics solutions and collaborate with teams to build scalable microservices, integrating cloud services and deploying models.

Join the Content Engineering team to leverage AI applications for document understanding and develop LLM-based solutions for data extraction. Responsibilities include debugging, monitoring, and ensuring high accuracy in processing large volumes of content.

The Lead Engineer will drive CRM development with AI tools, manage integrations, and enhance both front and backend systems for scalability and performance.

Lead AI writing product strategy and development while collaborating with cross-functional teams to enhance long-form writing experiences.

The AI Client Manager audits AI Management Systems, preparing reports and collaborating with clients and teams to ensure regulatory compliance and quality service.

This role involves developing multi-agent AI applications, optimizing LLMs, integrating tools with Snowflake, and ensuring performance and reliability through testing and observability.

Develop and maintain web interfaces, validate AI-generated code, provide UI/UX feedback, and follow project guidelines in a remote setting.

The Engineering Manager - SDET will oversee AI application quality assurance, focusing on test automation, model validation, and AI product testing, while mentoring the SDET team.

The AI Tooling Program Associate will lead the development and implementation of AI tools, identify automation opportunities, and support operations within the Databricks Professional Services team.

The ServiceNow AI Engineer will develop AI solutions on the ServiceNow platform, manage integrations and automation, and improve IT operations through collaboration and teamwork.

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

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

The role involves reviewing AI-generated code responses, ensuring their technical accuracy and adherence to best practices, and providing feedback for training AI systems.

The Senior SEO & AI Content Specialist will optimize content for search engines and AI platforms, build AI workflows, and enhance Superside's content strategy.

Jitterbit seeks a Senior AI Engineer to lead the design, architecture, and development of AI capabilities on their platform, focusing on creating robust and scalable AI systems.

The Research Engineer will build environments for evaluation datasets, deliver custom datasets, and improve the evaluation harness based on skills and interests.

As a Product Manager, you'll lead Lower's AI initiatives, shaping user experiences, collaborating across teams, driving delivery, and iterating based on performance data and user insights.

As a Forward Deployed Engineer, drive customer success through AI deployments, optimize systems for reliability, and collaborate with teams to enhance products.

The AI Support Engineer II provides technical support for DataRobot's AI Platform, resolving complex customer issues, collaborating with teams, and documenting solutions.

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

Develop and maintain large-scale AI Infrastructure systems, drive reliability and scalability, implement SRE practices, and mentor peers in a collaborative environment.

The Senior QA Engineer will ensure quality in AI products, designing test plans for APIs, UI, and ML workflows, conducting performance testing, and collaborating with ML teams.

The Director/Senior Director of AI will lead a small engineering team, manage AI initiatives, advise on AI strategy, and ensure compliance. Responsibilities include establishing AI practices, scaling the team, and delivering impactful AI solutions across departments.