Top Artificial Intelligence Jobs in Chennai

Oversee and implement a comprehensive data strategy and governance framework for global operations, driving data management as a strategic asset.

As a Staff Software Engineer, you'll design, implement, and optimize high-quality software solutions using RoR, Golang, and Java, collaborating with product management and mentoring team members.

The AI Software Engineer will develop, fine-tune, and deploy NLP models, focusing on generative AI and prompt engineering while collaborating with teams to enhance customer experiences.

Manage ECOs globally, work with engineering teams, create product setups in Agile and BAAN, and drive operational improvements.

Design and build intelligent systems using AI to automate tasks and improve user interactions through conversational UIs and workflows.

Lead and manage a team to build a scalable ML platform at Coinbase, focusing on Language Models for an open financial system, while mentoring engineers and ensuring high quality architecture and processes.

The Senior ML Data Platform Engineer will architect scalable data systems, deliver ML solutions, and collaborate with cross-functional teams to enhance the MLS data platform.

Design and implement AI solutions for natural language technologies, optimize models, conduct data analysis, and collaborate with AI teams.

The Senior Engineer - ECM manages ECOs, collaborates with teams on product updates, creates BOMs, and mentors team members while ensuring quality and process improvement.

Lead the development of AI/ML models and pipelines, mentor teams, drive innovation in NLP and computer vision, and manage project delivery.

Seeking Artificial Intelligence Consultants with 2-3 years experience in intelligent algorithms, deep learning, and neural networks. UI/UX experience is a plus.

The Lead AI Platform Engineer will design and develop AI-driven workflows, automate development processes, and enhance the software development lifecycle while mentoring teams in AI integration and best practices.

The Sr. AI/ML Engineer will design and develop machine learning models and algorithms, manage a team, and communicate solutions to stakeholders.

Lead development projects utilizing emerging technologies while mentoring team members. Ensure alignment with business goals, research innovative solutions, and manage project delivery effectively.

The Data Engineer role involves building scalable data pipelines, managing data architecture, and ensuring compliance with regulations while working with business stakeholders.

Develop multimodal AI agents, integrating machine learning and natural language processing, to enhance customer experiences on a conversation-centric platform.

As a Senior Engineer at ZoomInfo, you will lead AI solution development for finance, drive innovation, and collaborate across functions to enhance decision-making processes.

Lead the deployment of administrative processes and support project management while improving office automation and AI technology applications. Manage automation projects with a focus on continuous improvement and training.

Lead a team in developing AI-powered, enterprise-grade software, mentor engineers, drive design, and implementation of scalable solutions.

As a Senior Software Engineer, you'll enhance Appian's low-code platform focusing on AI capabilities, develop full-stack applications, mentor juniors, and ensure platform reliability and performance optimization.

Build enterprise-grade solutions for GenAI deployment, focusing on application development, data ingestion, model fine-tuning, and deployment at scale.

Responsible for developing AI search agents and RAG pipelines, optimizing performance, and monitoring production environments while ensuring accuracy and efficiency.

As an AI Vision Engineer, you will develop visual intelligence capabilities to enhance conversational AI experiences, focusing on image and video generation.

Lead development of a multi-agent AI infrastructure for financial institutions, focusing on custom AI orchestration, real-time systems, and architectural best practices.

Create products for voice AI, develop backend systems, optimize audio processing, collaborate with teams, and enhance customer interactions.