Top Artificial Intelligence Jobs in Chennai

The Senior AI Engineer will develop and maintain AI pipelines, deploy models, troubleshoot issues, and manage AI solutions using advanced AI/ML techniques.

Manage AI projects in Banking and Financial Services, focusing on agentic AI initiatives, data management, and digital transformation while employing Agile methodologies.

Design, develop, and maintain applications using modern languages, build data pipelines, and deploy ML models on Azure. Collaborate with teams to drive projects from concept to production.

The Senior Manager, AI Transformation Office PMO oversees AI initiatives, ensuring alignment with business strategies, managing budgets, resources, and governance frameworks while fostering collaboration across teams.

The AI Engineer will design, build, and deploy intelligent systems leveraging machine learning and generative AI, collaborating with cross-functional teams throughout the AI solution lifecycle.

The Full Stack Engineer will design and deliver intelligent applications using advanced software engineering, architecting both frontend and backend services, and collaborating with cross-functional teams to create AI-driven solutions.

The role focuses on leveraging AI and automation across processes to enhance operational efficiency and customer experience, collaborating with teams to implement effective solutions.

Design, build, and operate production-grade RAG pipelines: ingestion, embedding, indexing, retrieval, reranking, and grounded answer generation. Optimize search quality, latency, cost, security, evaluation metrics, and observability while partnering across teams to deploy and continuously improve enterprise retrieval systems.

The Software Engineer II will design and maintain Striim's AI-driven cloud-native platform, optimizing microservices, collaborating on architecture, and ensuring reliability in real-time data processing.

The Lead Analyst, AI Engineer will develop and implement AI systems using machine learning and deep learning techniques, collaborating with teams to solve complex problems and improve technology solutions.

Design and implement AI-powered operational solutions utilizing AWS services and machine learning, focusing on automation, monitoring, and container orchestration, enhancing cloud infrastructure efficiency.

Optimize LLM performance and implement evaluation frameworks; build clustering models for customer and product segmentation; design and maintain data pipelines using SQL and Python DAGs.

Responsible for executing supplier strategy, managing full sales cycle, and enhancing customer satisfaction through relationship building and operational excellence.

Develop, deploy, and maintain Generative AI applications using Python, integrate with APIs, and optimize performance while collaborating with cross-functional teams.

Design, build, fine-tune, and deploy language and document-understanding models; consult stakeholders to frame requirements; develop analytic plans; collaborate with engineers to integrate models; manage multiple projects and present insights to technical and non-technical audiences.

The AI/ML Engineer III translates business goals into ML metrics, leads ML model development, and oversees deployment and monitoring of AI solutions, driving innovation and collaboration across teams.

The role involves recording everyday household tasks using a smartphone or camera to train AI, ensuring quality and adherence to guidelines.

The Sr AI/ML Engineer will research, develop, and deploy AI/ML models for improving yield and the test and calibration process in hardware manufacturing.

The Revenue Intelligence Analyst will transform revenue performance understanding using AI, automate insights, and improve decision-making processes for sales and marketing teams.

As an AI Engineer, you'll design and implement AI-driven solutions for classifying digital communications, using transformer models and collaborating across teams.

As a Senior AI Engineer II, you will manage the full ML lifecycle, leveraging Computer Vision and NLP to enhance data insights and improve model deployment processes. You'll collaborate with multiple teams to align AI solutions with business objectives and advocate for sustainable practices in machine learning.

The role involves developing generative AI models, optimizing machine learning pipelines, mentoring junior engineers, and collaborating with cross-functional teams to enhance AI solutions.

Lead the design and implementation of AI solutions on Google Cloud Platform, focusing on agentic AI systems and multi-agent orchestration, while engaging stakeholders and mentoring junior engineers.

Develop and maintain solutions using Microsoft Power Platform, integrating with Dynamics 365, and providing technical support while collaborating with teams to automate business processes.

The Senior Engineer will develop and deploy machine learning models and workflows, mentor junior engineers, and collaborate with cross-functional teams to improve patient care through innovative solutions.