Top Artificial Intelligence Jobs in Chennai, TN

Seeking a skilled Lead Software Engineer (AI Technical Lead) to work on cutting-edge AI research and development initiatives in a public cloud infrastructure. Responsibilities include architecting, building, and deploying core APIs, developing application-specific interfaces, enabling users to build new AI capabilities, and implementing Responsible AI practices. Requires 10 years of relevant experience, a degree in Computer Science or Artificial Intelligence, familiarity with building large-scale AI products, and strong communication skills.

The AI Cloud Engineer plays a key role in delivering the future of Advanced Manufacturing Capabilities within the Digital Manufacturing Organization. They are responsible for designing cloud solutions, coding for the cloud, and working with stakeholders to ensure the delivered solutions meet business needs optimally.

Lead a team of data engineering and data analysts to deliver AI/ML and Generative AI solutions within the Digital Manufacturing Organization. Implement data management policies, ensure data quality, support data users, troubleshoot data-related problems.

Seeking an experienced Engineering Manager, Software(AI Dashcam Products) to lead the development of new product features for Fleet Safety and the AI Dashcam software. Must have a strong technical background in agile product development, distributed systems, and cloud computing.

Seeking a talented Senior Generative AI Engineer with experience in developing and training Generative AI models. Responsibilities include implementing advanced machine-learning algorithms and models to enhance the platform's capabilities. Must have proficiency in Python and hands-on experience with machine-learning models.

Seeking a Senior AI Engineer to work on AI-led projects within the Global Data Science and Innovation team at KANTAR. Responsible for developing and maintaining scalable AI pipelines, deploying AI models, monitoring system performance, troubleshooting issues, and optimizing deployment processes.

Seeking a highly skilled Senior Machine Learning Engineer to lead the development of ML infrastructure, from model training to deployment. Responsibilities include implementing ML infrastructure, providing technical leadership, mentoring a team of engineers, collaborating with data scientists, and establishing best practices for model deployment.

Develop and deploy generative AI models using Python on Azure or AWS Platform, engage in R&D to enhance AI model performance, design ML pipelines, collaborate with teams to integrate AI capabilities, analyze datasets, mentor junior team members.