AI/ML Computational Scientist

YOU ARE   As an AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes. Your role spans the full solution lifecycle — assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and DevOps &   MLOps   pipelines for training and production, and ensuring quality, value, and reliability of deployed systems.   THE WORK   Formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions   Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps &   MLOps   Customize and apply Deep Learning   and Gen AI models for various use cases based on the business needs, data availability,   system   and infrastructure requirements - including edge device and HPC   Engage in research and development of new AI and high-performance compute algorithms, models, and simulations along with their applications to solve complex business problems at client sites   Work with large-scale datasets and   utilize   data preprocessing techniques to ensure high-quality input for training and production   Implement and   maintain   efficient data storage and retrieval mechanisms for models and knowledge using   appropriate tools   Justify the value of model approaches in business problems   Collaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate into production   EDUCATION   • Bachelor's Degree or equivalent   BASIC (REQUIRED) QUALIFICATION   Proven experience as a machine learning engineer or scientist, deploying models in production at   scale ,   including monitoring, alerting, automatic bug filing and auditing.   Experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming   Hands-on experience in distributed computing systems and architecture that may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks   Experience in building and deploying AI/ML based software to a cloud environment.

Proficiency   in Python and   python -based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow,   PyTorch )..   Experience working with language models like LLM's APIs and   optimizing   their usage for specific applications.   Experience with the following programming languages:  Python, C++, Java, R, SQL   Strong written & verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholders   Strong client-facing skillsets in a consulting environment   Strong cross-functional skills with the ability to collaborate with a variety of internal and client-side teams   Entrepreneurial mindset with a curiosity and passion for emergent tech and driving innovation   MS or PhD in related field preferred (computer science, engineering, etc.)   About Accenture Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders