AI/ML Computational Science Specialist

About The Role

Skill required: Tech for Operations - Artificial Intelligence (AI)

Designation: AI/ML Computational Science Specialist

Qualifications:Any Graduation

Years of Experience:7 to 11 years

Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Songall powered by the worlds 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.

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 AutomationUnderstanding 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
Test LLM-based and GenAI applications for accuracy, consistency, and relevance Validate agentic and multi-agent workflows (ReAct, Chain-of-Thought, tool calling) Perform API and integration testing for AI services and downstream systems Conduct bias, safety, and Responsible AI testing Execute performance, scalability, and reliability testing for AI systems Build and maintain automated AI test suites using Python Integrate AI testing into CI/CD pipelines Collaborate with AI engineers to debug and improve AI quality57+ years in QA / Automation Testing, with exposure to AI/ML or GenAI Strong Python skills Experience with LLMs, prompt testing, and agentic frameworks Knowledge of API testing, SQL, and cloud platforms (AWS/Azure) Understanding of RAG, vector databases, and non-deterministic AI behavior


Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problemsMay create new solutions, leveraging and, where needed, adapting existing methods and proceduresThe person would require understanding of the strategic direction set by senior management as it relates to team goalsPrimary upward interaction is with direct supervisorMay interact with peers and/or management levels at a client and/or within AccentureGuidance would be provided when determining methods and procedures on new assignmentsDecisions made by you will often impact the team in which they resideIndividual would manage small teams and/or work efforts (if in an individual contributor role) at a client or within AccenturePlease note that this role may require you to work in rotational shifts
QualificationAny Graduation