Top Artificial Intelligence Jobs in Delhi

The role involves developing QA strategies for AI applications, testing models for fairness and performance, and collaborating on automation frameworks.

The AI Engineer will develop and deploy GenAI applications, serve as a technical advisor, and collaborate on strategic initiatives in AI at Databricks.

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 the development of scalable backend systems for AI interactions, collaborating with cross-functional teams and mentoring junior engineers.

Lead a team of researchers to develop advanced AI systems, focusing on multimodal models and engaging user experiences. Responsibilities include mentoring, driving research direction, and collaborating with engineering to deploy innovative features.

The AI/ML Architect will develop, deploy, and maintain AI and machine learning models while utilizing cloud services and big data technologies for scalable applications.

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.

Drive the expansion of software development and AI services by managing client relationships, building sales pipelines, and negotiating contracts.

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

Looking for a Staff Engineer specializing in Generative AI with extensive experience in model architectures, AI solutions, and Python development. Responsibilities include architecting scalable AI systems, collaborating with teams, and ensuring high-quality code delivery.

Lead architecture, design, and implementation of AI systems. Collaborate with teams to develop AI features and evaluate model performance. Mentor engineers and oversee technical execution.

Lead the global internal communications strategy for AI at NTT DATA, crafting compelling narratives and managing campaigns to engage employees across a diverse workforce.

As a Staff Engineer, you'll design and develop AI applications, manage LLM-based systems, and collaborate on technical solutions for client requirements through effective coding and architectural guidance.

Lead the QA strategy and architect automation frameworks for AI products. Design test approaches for AI models, influence teams, and drive quality initiatives.

SDE3 will build and scale Generative AI products, implement features end-to-end, design architecture, and lead development teams while ensuring high coding standards.

The Senior AI Data Engineer is responsible for designing and implementing AI solutions, managing databases, and collaborating with teams to integrate these solutions into the Teamified platform.

Design and develop AI data architecture and API, manage databases, collaborate for AI integration, and optimize models for performance.

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

Join Welo Data's global contributor network for flexible remote projects involving AI data annotation, evaluation, and prompt creation.

The AI/ML Engineer will develop and optimize AI-driven media search, fine-tune models, handle large datasets, and work with engineering to deploy scalable AI endpoints.

The role involves building AI search agents, creating RAG pipelines, optimizing vector search technologies, and automating evaluation processes.

The Senior Product Manager will lead AI product strategy at CoinMarketCap, focusing on user needs and data analysis to drive product development.

As a Senior Product Designer, you will enhance user experience for AI products, collaborating with cross-functional teams and conducting user research to inform design decisions.

As an AI Engineer, you will develop Generative AI models, design RAG pipelines, and collaborate with stakeholders to optimize AI solutions for business needs.