Top Artificial Intelligence Jobs in Gurgaon

Develop scalable applications using .NET or Python with AI integration, implement RAG pipelines, and build intelligent search and conversational systems.

The role involves designing and developing a scalable AI platform, managing Kubernetes clusters, and building automated pipelines for machine learning models at BlackRock.

The role involves managing chiller diagnostics, servicing, customer satisfaction, compliance, and collaboration with internal teams for operational excellence in HVAC services.

Lead and grow the Applied AI team, providing engineering leadership and product guidance for AI agents in physical operations. Drive team performance and collaborate with cross-functional teams to ensure product reliability and user value delivery.

The Lead Software Engineer will design, implement, and support Python-based AI applications, focusing on classic and generative AI techniques, while collaborating with a team to enhance productivity and respond to client needs.

The Associate Director for Foreseer AI leads a team in designing and implementing AI-driven digital solutions, focusing on architectural development, agile methodologies, and team collaboration.

Seeking an AI Engineer to work with models like GPT, convert content to structured data, and evaluate AI outputs. Training provided.

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

The role involves developing AI agents and automation workflows, integrating finance systems, leading technical design reviews, ensuring compliance, mentoring junior staff, and driving business impact through automation.

Lead development of automation frameworks for AI/ML applications, ensuring reliability and scalability of LLM-based products while optimizing CI/CD integrations and performance testing.

The role involves managing large-scale unstructured data for ML systems, contributing to the entire product lifecycle, and building reliable system software.

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

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

Design and implement scalable Generative AI solutions. Collaborate with cross-functional teams to convert business needs into AI solutions. Oversee architecture and evaluate the performance of AI systems on cloud platforms.

The Senior Staff Engineer will architect and implement scalable Generative AI solutions with a focus on prompt engineering, machine learning, and cloud services. Responsibilities include collaborating with cross-functional teams, defining technical requirements, and ensuring best practices in architecture and design.

Seeking an MLOps Engineer to build and maintain AI/ML systems for healthcare claims management, focusing on operationalizing ML models and optimizing revenue recovery.

Lead the design and implementation of data architectures for generative AI initiatives, collaborating with teams and establishing best practices.

The Principal Engineer will lead AI-driven development workflows, architect fullstack solutions, mentor engineers, and integrate AI capabilities into applications.

Lead the AI engineering team to develop and implement AI solutions, mentoring staff, collaborating with business units, and promoting AI adoption.

Lead a team to develop AI safety tools and platforms, ensuring responsible innovation and collaboration with customers. Mentor staff and guide projects in AI safety methodologies.

We seek a Full Stack Web Developer with 8+ years of experience in JavaScript and Python, focusing on backend and frontend development, API creation, and CRM integration in a fully remote role.

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

Design, develop, and maintain Python-based APIs and event-driven backends for a voice conversational AI application while integrating various voice APIs and managing databases.

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.

You will design and develop machine learning infrastructure and models, work with cross-functional teams, and build AI-driven applications, focusing on data scalability and performance.