Top Artificial Intelligence Jobs in Chennai

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

The Associate Project Engineer will develop predictive models and AI solutions, work with large datasets, and integrate front-end and back-end development.

Lead the development of advanced AI solutions, mentor a team of engineers, and implement Generative AI technologies to solve business challenges and enhance user experiences.

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.

The Engineer Intmd Analyst role involves engineering activities, product development, project support, and compliance within technology frameworks.

As a software engineer, you'll develop end-to-end data analytics and ML solutions, working with open-source tools and collaborating remotely with global teams.

The Senior Data & AI Specialist designs, develops, and deploys AI models, collaborates across teams, and drives predictive analytics to enhance business performance.

The AI ML Engineering Manager will lead a team in developing AI/ML solutions, overseeing design, development, and deployment of models, while managing and mentoring engineers.

As an AI Engineer, you'll develop enterprise solutions for GenAI applications, focusing on deployment, performance tuning, and utilizing various technologies including cloud platforms and machine learning frameworks.

Manage an algorithms team focused on developing AI-enabled semiconductor inspection equipment through collaboration, innovation, and patent generation.

Design and develop machine learning software solutions for semiconductor metrology, define requirements, optimize algorithms, and implement APIs.

The Staff Software Engineer will develop Generative AI applications, design software solutions, implement tests, and guide team members. Responsibilities include collaborating with stakeholders, adhering to agile methodologies, and ensuring timely project delivery.

As a Software Senior Engineer, you'll develop scalable AI Connectors, ensuring quality and business goals, collaborating across teams, and mentoring peers.

As a Senior AI Engineer, you will develop, train, and implement ML models, optimize deep learning architectures, and create data pipelines and API services for AI applications in NLP and predictive analytics.

The Senior AI Engineer will develop and maintain AI solutions, manage deployments, troubleshoot issues, and ensure performance in a hands-on role, collaborating with cross-functional teams.

As a Senior ML Engineer at Databricks, you will develop and optimize LLM solutions, build scalable data science workloads, and mentor other ML professionals. You will also collaborate with product and engineering teams and present your work at conferences.

The role involves developing and deploying GenAI applications at scale, with strong focus on LLMs, ML model deployment, and engineering skills.