Top Artificial Intelligence Jobs in Chennai

As Vice President of Global Data Strategy and Governance, you will develop and implement a data strategy and governance framework for the Risk Management division within Asset Wealth Management. Your role includes collaborating with stakeholders, leading teams, ensuring compliance, and driving data management initiatives to transform credit risk operations into a data-driven organization.

The Senior AI Research Engineer will design and implement solutions for natural language technologies, including paraphrasing, grammar checking, and summarization. Responsibilities include optimizing AI solutions, conducting data analysis, and contributing to AI teams. Candidates should have experience in natural language processing and machine learning, particularly with Python and deep learning toolkits.

This role involves applying innovative AI and automation solutions in the context of clinical trials to enhance efficiency and efficacy. The engineer will work with a diverse team to initiate transformative changes and deliver impactful results in healthcare.

The GCOA Enterprise Architect at Lilly is responsible for developing innovative technology solutions that enhance business productivity and efficiency. This role involves strategizing technology roadmaps, determining system architecture, aligning IT with business goals, and documenting processes through architectural models. The architect will work closely with stakeholders to ensure optimal technology usage and integrate emerging technologies into business processes.

As a Senior Software Engineer at ABBYY, you will drive the end-to-end development and delivery of scalable features and systems, ensure high standards of quality and performance, and collaborate with cross-functional teams. Your role includes monitoring system reliability, conducting code reviews, and continuously improving development processes while innovating with new technologies.

The Sr Consultant-AI & Automation will design IT Operations and automation solutions by collaborating with SMEs and domain consultants. Responsibilities include assessing automation opportunities, contributing to proposals, planning sprints, and demonstrating solutions. Knowledge in ITOPS, AIOPS, automation methodologies, and RPA tools is essential, with a minimum of 4 years in IT Operations and 2 years as a Solution Architect required.

The AI Productivity Engineer role involves supporting the development and implementation of collaboration and conversational AI platforms within the company. The position is aimed at recent graduates, offering opportunities to learn about AI and software engineering, collaborate with IT teams, contribute to system integration, and improve employee experiences through AI-driven solutions.

The Lead Consultant will spearhead a team of data engineers, shaping and executing data solutions and enterprise architecture that aligns with business strategy. This role encompasses creating scalable data architectures, optimizing machine learning pipelines, ensuring security compliance, and facilitating collaboration for enhanced data analysis and decision-making.