AI/ML Computational Science Engineer

We Are Accenture is helping enterprises reinvent their organizations and businesses with human-centered AI solutions and services to drive breakthrough innovation and lasting competitive advantage. With more than 45,000 AI and data professionals across the company, our AI & Data practice brings together cutting-edge AI technologies, deep industry experience, strategic investment, exceptional interdisciplinary talent, and a powerful ecosystem of partners to help clients scale AI with speed and confidence. 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 Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements. Here's What You Need • Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience) • Minimum of 3 years of experience as a machine learning engineer or scientist, deploying models in production at scale , including monitoring, alerting, automatic bug filing and auditing. • Minimum of 3 years of experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming • Minimum of 1 years of 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 • Minimum of 1 years of experience in building and deploying AI/ML based software to a cloud environment. Bonus points if you have • 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.) Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We anticipate this job posting will be posted until 11/30/2026. Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here: U.S. Employee Benefits | Accenture Role Location Hourly Salary Range California $26.39 to $77.88 Cleveland $24.42 to $62.31 Colorado $26.39 to $67.31 Columbus $24.42 to $62.31 Connecticut $26.39 to $67.31 District of Columbia $28.08 to $71.63 Illinois $24.42 to $67.31 Maine $22.45 to $57.31 Maryland $26.39 to $67.31 Massachusetts $26.39 to $71.63 Minnesota $26.39 to $67.31 New York $24.42 to $77.88 New Jersey $28.08 to $77.88 Virginia $24.42 to $71.63 Washington $28.08 to $71.63