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AI/ML Computational Science Manager
Job summary
A leading global professional services company is seeking an AI/ML Computational Science Manager in Hyderabad. This role involves identifying complex problems, creating innovative solutions, and managing teams to drive results. The ideal candidate should have 13 to 18 years of experience and strong skills in problem-solving, analytical thinking, and communication. The position may also require working in rotational shifts.
Qualifications
- 13 to 18 years of experience in a relevant field.
Responsibilities
- Identify and assess complex problems for area of responsibility.
- Create solutions requiring in-depth evaluation of variable factors.
- Adhere to strategic direction set by senior management.
- Interact with senior management at client and Accenture.
- Exercise latitude in decision-making.
- Act independently on methods and procedures for new assignments.
- Impact daily operations in the area of responsibility.
- Manage large to medium-sized teams or work efforts.
- May require working in rotational shifts.
Skills
Education
Tech for Operations - Artificial Intelligence (AI)
AI/ML Computational Science Manager
Any Graduation
13 to 18 years
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 699,000 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
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. 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.
- Problem-solving skills
- Ability to perform under pressure
- Results orientation
- Strong analytical skills
- Written and verbal communication
- In this role you are required to identify and assess complex problems for area of responsibility
- The person would create solutions in situations in which analysis requires an in-depth evaluation of variable factors
- Requires adherence to strategic direction set by senior management when establishing near-term goals
- Interaction of the individual is with senior management at a client and/or within Accenture, involving matters that may require acceptance of an alternate approach
- Some latitude in decision-making in involved
- You will act independently to determine methods and procedures on new assignments
- Decisions individual at this role makes have a major day to day impact on area of responsibility
- The person manages large - medium sized teams and/or work efforts (if in an individual contributor role) at a client or within Accenture
- Please note that this role may require you to work in rotational shifts
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.