AI/ML Computational Science Manager

Skill required: Tech for Operations - Artificial Intelligence (AI) Designation: AI/ML Computational Science Manager Qualifications:Any Graduation Years of Experience:13 to 18 years

About Accenture

Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 784,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do? You will be part of the Technology for Operations team that acts as a trusted advisor and partner to Accenture Operations. The team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. We work closely with the sales, offering and delivery teams to identify and build innovative solutions. The Tech For Operations (TFO) team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. Works closely with the sales, offering and delivery teams to identify and build innovative solutions.,Tech for Operations involves using technology to improve and streamline business operations. This role includes implementing software solutions, automating processes, and managing IT systems that support operational activities. It also involves analyzing data to optimize performance and ensure efficiency. The goal is to enhance productivity and operational effectiveness through the effective use of technology. Major sub deals include AHO(Application Hosting Operations), ISMT (Infrastructure Management), Intelligent Automation Understanding of foundational principles and knowledge of Artificial Intelligence AI including concepts, techniques, and tools in order to use AI effectively. What are we looking for? • Delivery Leadership: Lead a team of AI engineers to prototype, test, and deploy solutions in agile sprints.

• Agile Project Management: Manage the AI Project using Agile methodology, Build Epics, Stories, Use cases and sprints.
• Stakeholder Engagement: Collaborate with business leaders to identify high-impact automation use cases (e.g., Finance, Customer Success).
• Governance & Ethics: Ensure AI safety, implementing guardrails for bias detection, cost containment, and output auditability.