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

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.

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.

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.

This role involves engineering software solutions, collaborating with teams, producing high-quality code, and optimizing software engineering capabilities. Candidates should have experience in software design, development tools, and Agile 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.

Lead the delivery of transformative AI solutions for clients, architecting complex systems, managing data ecosystems, and mentoring team members.

As an AI Architect, you will lead AI strategy, design and implement AI systems, oversee model evaluation, and ensure data ethics, driving innovation in a collaborative environment.

As an AI Process Automation Engineer, you will design and develop AI-driven automation tools, collaborate with teams to optimize processes, and create integrations and workflows using scripting and automation frameworks.

Manage the AI roadmap and build data and ML infrastructure. Deploy models while ensuring compliance, quality, and cost management.

The AI Support Engineer provides customer support for DataRobot's AI platform, troubleshoots complex issues, collaborates with teams, and documents solutions.

The Senior .NET Developer will design architecture for high-loaded applications, develop functionalities, implement components and services, and ensure quality control.

Develop and optimize AI models in PyTorch for NPU architecture, analyze existing frameworks, and collaborate with the compiler team to enhance performance.

The role involves leading .NET Full Stack development, collaborating across teams, optimizing cloud solutions on Azure, and ensuring code quality and performance.

The role involves collaborating with teams to implement Generative AI models, optimizing algorithms for machine learning systems, and maintaining code quality. It requires proficiency in Python and relevant experience in data-driven projects.

Lead the development and integration of AI capabilities into core applications using .NET Full Stack. Responsibilities include mentoring, designing scalable APIs, collaborating with teams, and ensuring code quality.

Join Welo Data's global contributor network to work on flexible, remote AI projects such as annotation, evaluation, and prompt creation, requiring Albanian fluency.

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

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

The Software Tester will work on manual and automation testing, utilizing various tools to ensure product quality and validate AI/ML workflows. Key responsibilities include testing methodologies, defect lifecycle management, and collaboration with development teams.

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.