Top Artificial Intelligence Jobs in Chennai

As an AI QA Specialist, you will develop and execute test strategies for AI systems, validate outputs, monitor observability, and ensure compliance.

The AI Manager will lead global teams in AI delivery, ensuring strategic alignment with business goals, managing AI solutions, and upholding compliance standards.

Design, develop, and maintain applications using modern languages, build data pipelines, and deploy ML models on Azure. Collaborate with teams to drive projects from concept to production.

The role involves designing, training, and deploying machine learning models, integrating LLMs, and implementing MLOps best practices. Collaboration with cross-functional teams is essential to drive AI initiatives.

The Billing Associate will manage outbound insurance tasks, ensure AI performance, and support insurance setups while collaborating on product development.

Edit videos for social platforms utilizing AI tools and VFX. Collaborate with creative directors on projects, integrating AI characters and maintaining brand consistency across edits.

The AI Engineer will optimize and maintain AI-driven services on the Sootra platform, focusing on LLM/VLM pipelines, API management, and production stability.

Lead the development and deployment of AI/ML solutions in finance, optimizing processes and driving innovation, while mentoring a diverse team.

The role involves designing and implementing AI/ML models for edge computing environments, collaborating across teams, and improving software solutions while staying current with technology advancements.

The AI Strategist will lead strategic enterprise accounts, shape AI strategies, engage with C-level executives, and collaborate cross-functionally to drive AI adoption.

The role involves developing and validating financial crime models, interfacing with clients, presenting insights, and guiding junior team members. Candidates must have analytics experience in financial services, particularly in Anti Money Laundering and related areas.

Develop and maintain web interfaces, validate AI-generated code, and provide feedback on UI/UX. Collaborate with project coordinators for task delivery.

In this role, you'll enhance customer support through automation, implement tools, analyze data, and collaborate cross-functionally to scale operations and improve efficiency.

The Technical Architect for AI/ML will define architecture for AI systems, mentor teams, and align strategies with business objectives, utilizing cloud-native tools and frameworks.

Lead the development and architecture of AI-driven features for mobile and web platforms, ensuring scalability and efficient model integration.

As a Senior AI Engineer, you will lead machine learning initiatives from research to production, focusing on insights from unstructured data using Computer Vision and NLP techniques.

As a Senior AI Engineer II, you will manage the full ML lifecycle, leveraging Computer Vision and NLP to enhance data insights and improve model deployment processes. You'll collaborate with multiple teams to align AI solutions with business objectives and advocate for sustainable practices in machine learning.

Develop responsive front-end and robust back-end systems, collaborate on AI integrations, maintain databases, and implement DevOps practices. Emphasize on security and rapid prototyping in a dynamic, startup-like environment.

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

Develop and manage AI-enabled full-stack applications, integrating AI models and APIs, while collaborating with teams and researching new technologies.

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.

Lead technical development of AI solutions for finance automation, mentor teams, integrate AI with enterprise systems, and present to executives.

The Senior Staff Engineer will lead AI platform development, design reusable frameworks, and manage MLOps for ML workloads, ensuring engineering quality and mentoring team members.

Lead the design and implementation of data infrastructure for analytics and AI; manage ETL solutions and Master Data Management; mentor data engineering team.

Design and develop machine learning infrastructure and models to enhance user experience. Collaborate with teams on AI integration and data lifecycle management.