Senior AI/ML Solutions Architect

Accenture UK & Ireland; Dublin; On-site; EUR 120,000 - 180,000; Full time

Job summary

Accenture UK & Ireland is seeking a Senior AI/ML Computational Scientist to design, build, and operationalize AI/ML solutions for enterprise clients. You will combine custom models with cloud services, including Deep Learning, Generative AI, and LLMs, and design scalable data pipelines for training and production within DevOps and MLOps practices.

You will engage in research and development of high-performance compute algorithms, work with large datasets, ensure data quality, and collaborate

Qualifications

• Significant experience as a ML engineer or scientist deploying models in production at scale, with monitoring and auditing.
• Strong grounding in computer science foundations, architecture, systems engineering, and programming.
• Experience with distributed computing, big data, HPC, engineering simulations, grid and cloud computing.

Responsibilities

• Formulate real-world problems into scalable AI/ML solutions.
• Develop and implement ML models and data pipelines for training and production with DevOps & MLOps.
• Customize DL and Gen AI models for various use cases based on business needs.
• Research and develop new AI algorithms and simulations for client solutions.
• Work with large-scale datasets and preprocess data for training and production.
• Maintain data storage and retrieval for models and knowledge.
• Justify model approaches in business terms.
• Collaborate with business and technical teams to deliver end-to-end projects.

Skills

Python

TensorFlow

PyTorch

Distributed computing

MLOps

Cloud platforms

Education

Bachelor's Degree or equivalent

Tools

Git

Docker

Kubernetes

Job description

Accenture UK & Ireland is seeking a Senior AI/ML Computational Scientist to design, build, and operationalize AI/ML solutions for enterprise clients. You will combine custom models with cloud services, including Deep Learning, Generative AI, and LLMs, and design scalable data pipelines for training and production within DevOps and MLOps practices.

You will engage in research and development of high-performance compute algorithms, work with large datasets, ensure data quality, and collaborate