Top Artificial Intelligence Jobs in Chennai

As an AI Solutions and Delivery Engineer, you will design, develop and manage AI products, oversee projects, and mentor teams, ensuring solutions meet user needs and organizational objectives.

Manage and lead large development teams focused on AI and ML platforms, ensuring operational excellence and effective delivery of complex software. Drive technical innovation, support team growth, and collaborate with stakeholders on strategic direction.

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

Outlier seeks Math Experts to evaluate AI outputs, craft questions, and assess relevance. Flexible, remote freelance position.

The D365 Sr BI Developer & Data Engineer will design and implement reporting solutions within the D365 environment, leveraging Power BI and Azure SQL. Responsibilities include developing reporting strategies and collaborating with cross-functional teams to meet business needs in data analytics and decision-making.

The Senior AI/ML Engineer will develop and deploy machine learning solutions, collaborate with teams, enhance model performance, and stay updated on AI advancements.

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

As an Applied AI Engineer, you'll develop integrations and automations for customers using TypeScript, JavaScript, and Python while utilizing AI/ML skills for enhanced customer experience.

As an Associate Project Engineer in Software/AI ML, you will build predictive models, develop algorithms for data analysis, and work with NLP and AI technologies. Your role involves collaborating with developers to integrate systems and delivering impactful AI-driven solutions within a robust engineering team.

The Senior Technical Lead will oversee the design and deployment of Generative AI solutions, mentoring a team of engineers and data scientists. Responsibilities include architecting large language models, developing and optimizing AI pipelines, and collaborating with cross-functional teams to enhance user experiences through innovative AI technologies.

As a Software Engineer for Training AI Data, you will evaluate AI-generated code quality, solve coding problems, and write robust test cases. You'll work on various projects involving AI models as they learn to code, requiring 3+ years of software engineering experience, primarily focusing on Python and potentially other programming languages.

The Senior Software Engineer will design, develop, and troubleshoot software features, focusing on AI and machine learning. Responsibilities include optimizing designs, mentoring junior team members, and ensuring high-quality code and testing while managing multiple priorities.

The Senior AI Data Scientist will develop and implement generative AI models, utilizing deep learning techniques while employing Python and various machine learning frameworks. They will be responsible for problem-solving, collaboration, and explaining complex concepts clearly.

As a Data Scientist at Kyndryl, you will bridge business problems and innovative solutions using methodologies, statistics, and software engineering. You’ll analyze data for patterns, develop AI models, ensure data management, and promote data security and privacy. Your role includes deploying AI projects and collaborating with customers to drive data transformations, while continuously contributing to business understanding and change management.

The Engineering Leader will define the technical vision and strategy for the AgentOS platform, oversee the design and development of scalable software solutions integrating AI and analytics, and collaborate with customer-facing teams to address client requirements and ensure successful project delivery. The role requires leadership to foster innovation and maintain excellence in engineering practices.

The Platform AI Adoption Engineer will design, develop, and manage hardware and software infrastructures, ensuring quality standards and compliance. Responsibilities include product development support, mentoring, application prototyping, system troubleshooting, and project status reporting. Collaboration with development teams is essential to define application requirements and provide documentation and training.

The Generative AI Architect will lead the design and development of generative AI systems, focusing on efficient architectures and integration with Azure and OpenAI technologies. Responsibilities include fine-tuning large language models, optimizing AI projects, and overseeing AI ethics and compliance. The role requires proficiency in Python and AI frameworks, and mentoring team members while staying current on AI advancements.