AI/ML Computational Science Engineer

What you’ll do

• 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 with DevOps & MLOps
• Customize and apply Deep Learning and Gen AI models for various use cases, including edge device and HPC
• Engage in R&D of new AI and high-performance compute algorithms, models, and simulations for complex business problems at client sites

What you’ll bring

• Bachelor's degree or equivalent (minimum 12 years) work experience; Associate's degree with 6 years experience
• Minimum 3 years as a machine learning engineer or scientist deploying models in production at scale
• Minimum 3 years applying theoretical foundations of computer science (architecture, system engineering, programming)
• Minimum 1 year in distributed computing systems (big data, HPC, cloud, etc.)

Technologies

Python · TensorFlow · PyTorch · LLM APIs · C++ · Java · R · SQL · MLOps · HPC · Distributed Computing

About Accenture

Accenture helps enterprises and governments reinvent strategy, technology, operations and customer growth through global consulting, managed services, AI/data, cloud and ecosystem partnerships.

Public · 5000+ people