About the role

AI summarised

Accenture is seeking an AI/ML Computational Scientist to design and deliver scalable AI and ML solutions for complex business challenges. The role involves developing models, building data pipelines, and collaborating with cross-functional teams to bring AI solutions into production, with a focus on HPC and edge deployment.

BusinessFull-timeOther Functions

Key Responsibilities

Develop and implement machine learning algorithms, models, and computational systems
Design and build scalable data pipelines and apply MLOps/DevOps practices for production deployment
Customize Deep Learning and Generative AI models based on business needs, data availability, and infrastructure requirements
Work with HPC environments and edge devices to optimize model performance
Conduct research and development of new AI and high‑performance computing techniques
Prepare and preprocess large-scale datasets to ensure high-quality model inputs
Collaborate with cross-functional teams—including business, engineering, and design—to deliver end-to-end AI solutions
Engage with clients to understand needs, shape AI strategy, and articulate solution value
Mentor junior team members on AI/ML methodologies and best practices

Requirements

Strong proficiency in machine learning algorithms, model development, and computational systems
Hands-on experience with Deep Learning and Generative AI model customization
Experience building scalable data pipelines and working with large datasets
Practical understanding of MLOps/DevOps for training, monitoring, and deployment
Experience with high-performance computing or edge deployment scenarios
Familiarity with cloud AI services (Azure, Google Cloud, AWS)
Ability to translate complex technical concepts into business insights for clients
Proven collaboration skills across multidisciplinary teams and stakeholders
Advanced degree in Computer Science, Machine Learning, Computational Mathematics, or related field
Experience optimizing models for HPC or resource‑constrained devices
Knowledge of GenAI frameworks and large language models
Research or publication experience in AI/ML
Experience in consulting or client-facing delivery environments
Knowledge of causal inference, probabilistic modeling, or simulation techniques
Contributions to open-source AI/ML projects