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.

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 Dev Ops & MLOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems.

• 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 Dev Ops & 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.

• 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.

• Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., Tensor Flow, 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…