Apply Generative AI, Large Language Models, and Deep Learning to enterprise challenges as an Accenture Computational Scientist in a hybrid setting.

This AI/ML Computational Scientist role covers the full solution lifecycle, from assessing client data and selecting models to production deployment. You will customize language models, build scalable training pipelines, and support reliability across cloud, edge device, and high-performance compute environments. Accenture’s Advanced Technology Centers connect technical expertise with client transformation work.

Key Responsibilities:

- Customize Generative AI and Deep Learning models for business needs
- Assess data, infrastructure, and system requirements for model selection
- Process large datasets for high-quality training and production inputs




- Maintain model knowledge storage and retrieval mechanisms
- Justify model value for complex business problems

Requirements:

- Two years of machine learning production deployment experience
- Two years applying computer science theory and programming
- One year in distributed computing or high-performance architectures
- Python and Python-based AI/ML framework proficiency preferred
- Experience with LLM APIs and application optimization preferred

Bring Generative AI, LLM, data pipeline, and computational modeling expertise to Accenture’s enterprise client work.

📌 Generative AI Computational Scientist (Canada)
🏢 Accenture
📍 Canada