AI/ML Computational Science Senior Analyst

ROLE DEFINITION & RESPONSIBILITIES
Project Role : AI / ML Engineer
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills : Large Language Models (LLMs)
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary
As an AI / ML Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies. This role requires integrating cloud-based or on-premises pipelines to ensure solutions are production-ready and scalable. The work often includes applying generative AI models to solve complex problems and may extend to areas such as deep learning, neural networks, chatbot development, and image processing. Collaboration with cross-functional teams to align AI capabilities with project goals is a key aspect of daily activities, fostering innovation and continuous improvement in AI-driven solutions.
Roles & Responsibilities
Professional & Technical Skills
Additional Information
REQUIRED VERIFIED SKILLS
COMPENSATION & REWARDS
ORGANIZATION CONTEXT & CULTURE
Accenture is a global professional services company providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. It partners with clients across various industries to help them improve their performance and create sustainable value for their stakeholders. The company leverages its extensive industry and technology expertise to drive innovation and transformation.
EXPECTED CAREER ROADMAP
APPLICATION ADVISORY
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