Top Artificial Intelligence Jobs in Chennai

As an AI Data Expert, you will evaluate AI-generated outputs, provide culturally relevant feedback, ensure content accuracy, and participate in quality assurance. This role requires strong analytical skills and attention to detail.

The AI Data Expert position involves evaluating AI outputs, generating content, and providing annotations to enhance AI training, all while considering cultural context. This role requires detail-oriented analysis, native language fluency, and strong English command.

As an AI Data Expert, you'll evaluate AI-generated outputs, review text, analyze multimedia, and provide structured feedback based on cultural standards.

The role involves evaluating AI outputs, generating content, providing annotations, and ensuring quality through cultural and contextual awareness.

The role involves reviewing AI outputs, generating content, ensuring cultural accuracy, and providing structured feedback to improve AI models.

Review and evaluate AI-generated outputs, provide annotations, and contribute cultural insights to improve AI training. Requires detail-oriented judgment and strong language skills.

The AI Engineer will develop and deploy advanced AI solutions focusing on generative capabilities, build context-aware AI agents, collaborate on data management, optimize AI model performance, and stay updated with AI advancements.

The Strategic Projects Lead will oversee cross-functional projects, enhance product offerings, manage data operations, and collaborate closely with executive leadership to drive significant revenue growth in the Generative AI sector.

The AI Engineer will develop, implement, and maintain AI systems and algorithms, ensuring data quality and deploying models in production. They will collaborate with teams to build data pipelines and ensure AI solutions meet requirements.

The AI Architect will design, implement, and oversee large-scale AI systems, ensuring they align with business goals and ethical standards. Responsibilities include architectural design, integration of AI models, and collaboration with data engineering. Requires over 10 years of experience in AI/ML implementations for large enterprises.

Lead a team for developing LLM and multimodal AI systems for healthcare. Ensure clinical safety, regulatory compliance, and effective deployment in telemedicine.

The Senior AI Engineer will lead the design and development of AI systems, mentor engineers, and drive innovation in AI technologies for gaming applications.

The Forward Deployed Senior Software Engineer will lead initiatives in building custom solutions and algorithms for healthcare data, collaborating with various teams to enhance customer experience and project delivery.

The role focuses on designing AI-driven workflows, developing user-friendly interfaces for complex backend logic, and enhancing UI/UX with real-time interactions and performance optimizations.

Build and scale Snowflake-native AI execution layers and orchestrated agent workflows. Implement RAG, embedding pipelines, vector retrieval, context-routing, monitoring, and integrations with enterprise data using SQL, Python, and DBT. Ensure scalable, observable, and governed AI systems across the organization.

As a Junior-Midlevel Developer, you will develop, maintain, and enhance an AI-powered education platform, collaborating with teams to build software and optimize performance.

As an AI Product Intern, you'll contribute to building AI-driven SAAS applications, integrating voice and video avatars, and developing user-friendly interfaces while collaborating with a global team.

The AI/ML Intern position is designed for aspirants eager to learn and grow in a remote environment, working on exciting projects.

The Director of AI/ML will lead the creation of a new Agentic Delivery Center in India, transforming client needs into scalable AI/ML solutions while ensuring project success and value delivery. Responsibilities include collaborating with leadership, defining architectural standards, and mentoring teams._

The AI Engineer will develop, deploy, and optimize machine learning models for environmental and industrial applications, focusing on real-time object detection and classification.

The AI Platform Engineer will design and optimize AI/ML infrastructure, automate pipelines, and manage Kubernetes for effective machine learning model deployment and collaboration.

Design, build, and own AI-powered full-stack platforms and features from discovery through production. Embed AI into products and workflows, ensure reliability and security, support incidents, and mentor teammates.

The role involves developing and executing content strategies across various formats, leveraging AI for optimizations, and analyzing performance data to enhance audience engagement.

The AI Scout - Sr Software Dev Engr is responsible for designing and building AI solutions, integrating them into products, mentoring junior developers, and optimizing performance across applications using a variety of technology stacks.

Develop and maintain AI systems for a financial platform, focusing on LLM pipelines, ML model serving, backend integration, and collaboration with engineering teams.