Top Artificial Intelligence Jobs in Delhi

Assist in developing AI solutions for financial planning, working on projects involving data structures, algorithms, and integrating AI features into the platform.

Lead the definition and delivery of AI-driven features and solutions. Translate complex needs into clear requirements, prioritize use cases, and coordinate cross-functional teams to deliver effectively.

The Vice President - AI Solutioning will lead the design and commercialization of AI-driven solutions in contact centers, engaging with clients, developing pricing strategies, and driving transformation.

The role involves architecting and implementing Generative AI solutions, collaborating with teams to meet business needs, and ensuring production-level code is maintained and scalable.

The role involves designing, implementing, and scaling GenAI solutions, collaborating with teams to translate business needs into technical solutions, and ensuring high-quality code and architecture.

The role involves architecting and implementing Generative AI solutions using LLMs, prompt engineering, Python coding, and managing AI deployments on cloud platforms like Azure and AWS.

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

Manage and optimize data annotation and machine learning workflows, ensuring high-quality data for AI models, while engaging with clients and providing team training.

This role involves preparing proposals, understanding client requirements, assisting in technical solution design, and supporting sales teams in AI/Data projects.

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.

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

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.

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.

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

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

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 Principal AI Researcher will advance Generative AI systems through research, development, and leadership in technical projects, with responsibilities including algorithm design, mentoring, and producing research publications.

The Applied AI Researcher will conduct research to advance AI systems, design and implement methodologies, develop algorithms, and partner with teams for product integration.

The Senior Data Scientist will design and optimize large language models and multimodal systems, focusing on retrieval-augmented generation and high-quality search solutions.

The Senior Technical Recruiter will own end-to-end recruitment for AI and ML roles, focusing on technical sourcing and engagement, ensuring a strong candidate experience, and managing offers efficiently.

Seeking a Backend Engineer to design and scale microservices and APIs for AI products, collaborating with ML engineers and optimizing performance.