Top Artificial Intelligence Jobs in Chennai

The AI Implementation Manager is responsible for managing customer onboarding, implementing solutions, and ensuring customer satisfaction in B2B environments, with a focus on technical integrations and strong communication with clients.

The AI Architect - Manager role involves defining enterprise AI solutions, guiding teams from concept to production, and collaborating across various engineering and business teams to enhance AI delivery foundations.

Design and manage AI architectures using AWS, develop cloud-native solutions, mentor teams, ensure compliance, and evaluate emerging technologies.

Seeking a Senior Data Scientist skilled in GenAI/LLMs to design and implement solutions for enterprise, conducting research and mentoring others.

The AI/ML Engineering Manager will lead AI solutions development, managing teams to enhance business processes and customer experience through AI. Responsibilities include collaborating with business leaders, overseeing product roadmaps, ensuring data readiness, and tracking performance metrics.

The AI Vision Engineer designs and deploys computer vision models, creates image processing pipelines, optimizes models for performance, and integrates vision capabilities with AI systems within semiconductor environments.

Develop AI/ML solutions, design scalable architectures, ensure production readiness, collaborate with teams, and innovate within the AI/ML domain.

The Software Engineer will design, develop, and deploy software solutions for KLA products, improve coding efficiency with AI tools, and collaborate with cross-functional teams. Responsibilities include debugging in complex systems and enhancing software architecture understanding.

Develop and integrate generative AI solutions, collaborating with teams to implement models, ensure quality, and stay updated with AI advancements.

As a Senior Agentic AI Architect, you will design intelligent systems and lead the implementation of agentic AI solutions, focusing on enterprise-scale adoption and collaboration. Your role involves mentoring teams, engaging stakeholders, and ensuring responsible deployment while integrating various data and knowledge systems.

Lead organic growth by developing SEO and AI-driven content systems. Manage funnel performance and ensure technical SEO excellence while driving revenue initiatives.

The People Ops Lead manages onboarding, offboarding, and HR processes, optimizing them through AI and system efficiency while supporting a global remote team.

The role involves managing business transformations and using supply chain analytics to enhance performance. Responsible for building advanced analytics models and providing strategic advisory services.

The Sr. GTM AI Analyst will design, automate, and optimize systems to enhance Alation's revenue operations, utilizing AI and engineering skills to build effective workflows and integrations.

The role involves leading full-stack development of the Agentic AI Platform, including backend and frontend implementation, technical design, and collaboration across teams.

The Integrations Engineer will connect engineering teams with clients, ensuring successful integration of the Agentic AI Platform. Responsibilities involve designing tailored solutions, providing technical support, and improving products based on customer feedback.

The Senior AI Data Scientist will develop and implement generative AI models, utilizing deep learning techniques, while working with machine learning frameworks and cloud services.

The role involves managing AI Automation projects in finance, developing use cases, and proficiency in enterprise tools and data analytics.

Responsible for developing and deploying AI-powered features, integrating LLMs, building data pipelines, and ensuring model output reliability through testing and optimization.

The Generative AI Engineer will develop and deploy AI features by integrating LLMs, managing data pipelines, and implementing robust testing and performance tuning processes.

The Generative AI Engineer develops and integrates AI features using Python and TypeScript, implements databases, builds automated tests, and optimizes performance.

The role involves developing, coding, and deploying AI features, including integration of LLMs, data pipeline building, and model optimization.

Design and implement Generative AI solutions utilizing LLMs, optimize RAG pipelines, and integrate AI solutions into production systems.

Design and implement Generative AI solutions using LLMs, optimize Retrieval-Augmented Generation pipelines, and ensure scalability and security of AI systems.

The AI/ML Engineer will design and implement GenAI solutions, optimize RAG pipelines, develop applications using orchestration tools, and integrate AI solutions into production systems.