Top Artificial Intelligence Jobs in Chennai

The AI Solutions Architect is responsible for designing scalable AI architecture, leading AI/ML solution implementation, and collaborating with teams to meet project goals.

Join Mitratech's AI team to develop secure and scalable software solutions. Responsibilities include writing clean code, participating in agile processes, and mentoring teammates.

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

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

Lead the architecture, implementation, and scaling of globally distributed systems for AI/ML and HPC. Drive reliability strategies and innovation at NVIDIA, mentoring global teams and contributing to cross-organizational efforts.

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

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.

Lead software engineering teams to develop and maintain scalable web applications, ensuring engineering excellence and promoting agile practices while mentoring team members.

Develop and deploy NLP models, optimize performance, and collaborate with teams to integrate AI solutions into business applications.

Design and deploy AI models for predictive analytics, optimize machine learning models, preprocess data, and monitor model performance.

Lead a team of engineers in developing AI capabilities, managing projects and ensuring high-quality work while fostering a positive culture.

As an Applied AI Engineer, you will build and maintain systems for AI agent behaviors, integrate applications, and ensure reliability and user feedback mechanisms.

Develop and maintain front-end applications, design scalable APIs, model data with relational databases, integrate Gen AI features, and contribute to system design in an agile team setting.

Lead the development of scalable backend systems for AI-powered voice and digital assistants, collaborating with cross-functional teams and resolving performance issues.

The SDE III will develop scalable backend systems for AI interactions, mentor junior engineers, and improve system performance and reliability.

Design and develop AI solutions for business challenges, manage data pipelines, and implement machine learning at scale, ensuring high-quality deliverables.

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

The AI Technical Lead will architect scalable, AI-driven applications, mentor teams, engage with customers, and contribute to product strategy.

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

The role involves architecting and developing multi-agent AI systems, optimizing distributed inference systems, and integrating advanced AI technologies.

Develop and optimize backend systems for real-time audio processing, integrating DSP algorithms, and collaborating with cross-functional teams on voice interactions.

Develop AI-driven features and systems, focusing on LLM fine-tuning and integration with third-party tools. Stay current with AI advancements.

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

As a Senior AI Engineer, you'll build ML/AI algorithms for data-driven search and recommendation systems, focusing on productization and deployment in a fast-paced environment.