Top Artificial Intelligence Jobs in Chennai

Assist in developing AI solutions for financial planning, working on projects involving data structures, algorithms, and integrating AI features into the platform.

Lead AI initiatives, craft product vision, manage lifecycle, utilize data for decisions, and foster collaboration across teams.

The Senior Manager AI ML will define the strategic AI/ML roadmap, lead end-to-end system integration, and mentor teams to create innovative adaptive systems.

The role involves architecting and implementing Generative AI solutions using LLMs, prompt engineering, Python coding, and managing AI deployments on cloud platforms like Azure and AWS.

Design and implement scalable Generative AI solutions. Collaborate with cross-functional teams to convert business needs into AI solutions. Oversee architecture and evaluate the performance of AI systems on cloud platforms.

The Senior AI Engineer will design, develop, and maintain AI-driven software applications, manage projects, lead code reviews, and mentor team members while ensuring adherence to best practices in software development.

The Senior AI Engineer will develop and maintain software solutions in a SaaS environment for life sciences, focusing on AI-powered applications and architectural decisions for data management and analytics.

The Senior AI Engineer will design, develop, test, and maintain software applications, focusing on AI technologies while leading projects and mentoring peers.

The Senior AI Engineer will research, develop, and deliver AI/ML solutions, mentor junior engineers, and establish scalable AI infrastructure for client projects in life sciences.

This role involves preparing proposals, understanding client requirements, assisting in technical solution design, and supporting sales teams in AI/Data projects.

Manage and optimize data annotation and machine learning workflows, ensuring high-quality data for AI models, while engaging with clients and providing team training.

The Senior AI QA Engineer will oversee test planning, automation framework development, API testing, and ensure high-quality AI solutions. Responsibilities include end-to-end testing across AI/ML systems, collaboration with data and DevOps teams, and mentoring junior QA members.

The AI Tooling Program Associate will lead the development and implementation of AI tools, identify automation opportunities, and support operations within the Databricks Professional Services team.

As a Forward Deployed Engineer, drive customer success through AI deployments, optimize systems for reliability, and collaborate with teams to enhance products.