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 in Montréal employer: Accenture PLC
Accenture Technology is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As part of the Cloud First – Software Development team, you will have access to cutting-edge technologies and opportunities for professional growth while working on impactful AI-enabled solutions for major clients in the transportation sector. With a focus on employee development and a commitment to delivering high-quality applications, Accenture provides a supportive environment where your contributions are valued and recognized.
