Top Artificial Intelligence Jobs in Chennai

Design and build intelligent agentic AI systems using LLMs and distributed systems, collaborating with teams, mentoring junior engineers, and ensuring high code quality.

Build and operate production ML/LLM systems: design MLOps platform capabilities, standardized pipelines, model registry and artifact lineage; deploy using containers/Kubernetes and CI/CD; implement observability, SLOs, incident response, model/data monitoring, security controls, and enable teams with documentation and best practices.

Seeking a skilled Generative AI Engineer to design and validate AI-driven solutions, integrate LLMs and RAG, and develop automated testing frameworks, ensuring reliable AI features.

As an AI DevOps Engineer, you will lead AI/ML solution delivery, oversee CI/CD processes, and mentor engineers while ensuring security and scalability of cloud infrastructures.

As a Senior/Staff AI Researcher, you'll lead research on Generative AI, implement algorithms, design models, and work with cross-functional teams to integrate findings into products.

The role involves reviewing and evaluating content based on guidelines, ensuring quality and consistency across annotations in a data annotation project for AI models.

Evaluate and annotate content according to guidelines, ensuring quality and consistency across tasks for an AI data project.

The AI Automation Engineer will enhance QA automation using AI-driven solutions, develop test frameworks, and collaborate across teams to improve software delivery quality.

Build backend services to integrate AI capabilities within payroll workflows, collaborating with ML engineers to develop AI-powered tools.

Review and assess content alignment with guidelines, ensuring quality and consistency in annotations across various types of content as part of a data annotation project.

Design, develop, and deploy machine learning models and AI solutions. Collaborate with teams for intelligent automation and conduct research on new AI technologies.

As an AI/ML Engineer, design, develop, and deploy machine learning models and AI solutions for fintech, ensuring integration with cloud platforms and robust data pipelines.

The Senior Engineer will develop and validate Edge AI/ML solutions, optimize models for embedded hardware, and deliver high-quality demonstrations for customers.

The role involves leveraging machine learning and optimization techniques to provide data-driven insights in supply chain operations, requiring proficiency in data modeling, Python, and cloud technologies.

Lead the architecture and development of AI and data-driven solutions for Nokia's Autonomous Networks, mentoring engineers and driving innovation through cloud-native technologies.

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

The role involves Salesforce development using Apex, LWC, and Aura, integrating AI tools, and managing CI/CD pipelines while ensuring code quality and scalability.

Seeking a Python AI Lead with 10-12 years experience to develop AI applications, mentor teams, and oversee cloud architecture on Microsoft Azure.

The role involves using scientific expertise to evaluate AI-driven life science tools, designing criteria for AI solutions, and ensuring alignment with scientific data and customer needs.

The Solutions Engineer will develop AI agents, configure automations, lead technical onboarding for enterprise customers, and deliver BI reports to enhance customer success.

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 Ecosystem Growth Manager will drive growth by onboarding GPU providers, attracting AI developers, and establishing partnerships for AIVM's decentralized cloud infrastructure.

The role involves community building, brand development, strategic sourcing, and establishing relationships to attract talent in finance, healthcare, and law.

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 role focuses on designing AI-driven workflows, developing user-friendly interfaces for complex backend logic, and enhancing UI/UX with real-time interactions and performance optimizations.