Top Artificial Intelligence Jobs in Delhi

The Senior QA Automation & AI Testing Engineer will lead Atrium's QA automation strategy, designing testing frameworks and implementing AI-driven testing practices while collaborating with cross-functional teams.

Design and implement AI-enabled ServiceNow solutions across ITSM, FSM, and ITAM. Provide technical leadership and ensure best practices in AI capabilities, facilitate stakeholder workshops, and guide project teams.

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

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.

As an AI Developer, you'll design AI-driven document features, integrate capabilities into tools, optimize performance, and engage in systems design and coding across languages.

The AI Product Manager will focus on managing product strategy, development, and implementation in cybersecurity, enhancing user experience and leveraging AI capabilities.

Design and develop machine learning infrastructure and models, support product teams, build scalable data services, and promote collaboration within a diverse engineering team.

Join Weave's Machine Learning Team as a Staff ML Engineer to design and develop AI infrastructure, build scalable services, and guide teams in leveraging data for application development.

The AI Engineer will develop and deploy AI/ML models and solutions, collaborate with teams, and ensure production readiness while addressing complex business problems.

The Software Development Engineer in Test (SDET) designs and maintains automation frameworks using Microsoft Playwright, integrates AI tools for test generation, and performs API testing while collaborating with a global team.

The AI Technical Analyst leads workflow analysis, translates business needs into requirements, designs AI-driven workflows, and supports deployment and testing of AI solutions.

The Senior Product Manager will drive AI-led innovation, define AI product strategy, ensure compliance with responsible AI principles, and collaborate across teams to deliver impactful AI features.

The Principal AI Systems Engineer will architect, build, and own AI systems, develop production-grade AI pipelines, and ensure reliability through evaluation and governance.

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.

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

The Zoom AI DevOps Engineer will design AWS infrastructure for AI services, implement Infrastructure as Code with Terraform, and manage production deployments while ensuring system reliability and automation best practices.

Manage macOS and Linux endpoints, support AI tool configurations, assist with developer environments, and create documentation for onboarding and troubleshooting.

The Gen AI Lead will architect and implement advanced AI solutions on GCP, lead a team, and manage the AI model lifecycle, ensuring innovative and scalable applications.

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.

Join a remote team as a Lead Data Scientist focusing on building Generative AI applications. Responsibilities include developing applications, implementing pipelines, and performing model tuning.

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

The Principal Full Stack Engineer will architect and build AI-powered systems, design workflows, mentor engineers, and enhance development productivity at Sleek.