Top Artificial Intelligence Jobs in Delhi

The role involves leading AI solutions development, mentoring teams, making architectural decisions, optimizing AI models, and ensuring best practices in AI-driven development.

The role involves building scalable ML/AI applications, implementing models in production, and defining best practices in ML operations. The engineer will lead projects, support juniors, and engage with teams.

Develop customer-facing automation solutions, contributing to design, coding, and troubleshooting, while collaborating with stakeholders on technical issues.

Lead the design, development, and implementation of AI-driven network solutions, guiding the full software development lifecycle and technical innovation.

Design and implement scalable distributed systems and ML services. Drive innovation in AI-driven network management and mentor junior engineers.

Seeking a Senior Staff Engineer with 10+ years of experience in generative AI, focusing on LLMs, prompt engineering, and deploying AI solutions. Responsibilities include understanding client requirements, mapping solutions, and ensuring architectural best practices.

The role involves designing and implementing generative AI solutions, especially using LLMs and associated architectures, while collaborating with teams.

The Staff Engineer, Generative AI will design and implement AI solutions, focusing on generative AI applications, prompt engineering, and RAG architectures while collaborating with cross-functional teams to meet client requirements.

The role involves designing AI/ML solutions, implementing generative AI applications, and collaborating on architectural decisions with teams to meet client needs.

The Staff Engineer, Generative AI will design solutions for AI applications, implement architectures, manage projects, collaborate with teams, and ensure technical requirements are met.

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 ServiceNow Solution Architect - AI leads a team to develop AI-driven applications on the ServiceNow platform, integrating ML and NLP solutions, and managing all development aspects from design to testing.

As a Senior/Staff AI Researcher, you'll lead research on Generative AI, implement algorithms, design models, and work with cross-functional teams to integrate findings into products.

The Technical Lead will design, develop, and maintain scalable backend services and cloud-native solutions, leading a team while driving complex projects involving Generative AI and Azure services.

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 Senior Marketing Associate at Upflow will execute marketing campaigns, manage HubSpot operations, support SEO efforts, and integrate AI tools to enhance marketing efficiency.

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.

The AI Engineer will optimize and maintain AI-driven services on the Sootra platform, focusing on LLM/VLM pipelines, API management, and production stability.

The role involves designing, training, and deploying machine learning models, integrating LLMs, and implementing MLOps best practices. Collaboration with cross-functional teams is essential to drive AI initiatives.

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

Edit videos for social platforms utilizing AI tools and VFX. Collaborate with creative directors on projects, integrating AI characters and maintaining brand consistency across edits.

The role involves leading the implementation of Workday modules and AI applications, ensuring data integrity, compliance, and enhancing HR operations with technology.

The AI Developer will design, train, optimize, and deploy LLM models, focusing on backend and machine learning engineering in offline environments. Responsibilities include fine-tuning models, implementing data workflows, managing inference systems, and building backend services.

Develop and operationalize AI and ML products, focusing on LLM integration and monitoring, and collaborate with engineering teams for production integration.