Top Artificial Intelligence Jobs in Chennai

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.

The Senior Data Scientist will design and deploy AI models for telematics applications, develop algorithms, collaborate with teams, and support junior members.

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.

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.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

The Applied AI Engineer will develop systems for knowledge extraction and retrieval, create AI models for reasoning and evaluation, and build prototypes, enhancing AI workflows for teams.

The Lead SDET will develop and maintain automated testing frameworks and tools, primarily for data integration and non-functional testing within financial applications, while also mentoring junior SDETs.

Drive strategic vision and develop cutting-edge machine learning models. Collaborate with teams to enhance services, build scalable pipelines, and mentor junior staff.

Design and implement agentic AI systems. Develop workflows for system migration, integrate AI agents with cloud platforms, and monitor agent performance.

The Manager, AI & Automation will lead teams in AI strategy, use case identification, deployment, and stakeholder engagement in line with business goals.

As a Full-Stack Software Engineer, develop backend systems and frontend interfaces for the Agentic AI Platform, collaborating across teams to enhance AI technologies.

As a Senior Software Engineer - iOS, you will design and develop high-quality iOS features, utilizing AI-driven tools to enhance development workflows and collaborating across teams.

The Sr. Software Engineer - iOS will design, develop, and deliver high-quality iOS apps with AI-driven workflows, collaborating across teams to enhance mobile app solutions.

The AI Content Intern will create and refine digital content using AI tools, collaborate with editors, and support content optimization for various platforms.

The AI SEO Intern will assist in improving online visibility for clients through SEO and AI tools, focusing on keyword research, content optimization, and performance reporting.

As an AI Solutions Architect, design and implement AI solutions, evaluate technologies, collaborate across teams, optimize models, and document processes.

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