Enterprise AI/ML Scientist: Gen AI, HPC & MLOps

Accenture; Beaverton (OR); On-site; USD 55,000 - 103,000; Full time

Job summary

Accenture is seeking an AI/ML Computational Scientist to design, build, and operationalize AI and machine learning solutions for enterprise clients, combining custom models with cloud services to deliver production‑ready outcomes across the full solution lifecycle.

You will reformulate real‑world problems into scalable AI apps, develop models and data pipelines with DevOps & MLOps, tailor deep learning and Gen AI solutions, and collaborate with business and technical teams to deploy reliable

Qualifications

• Bachelor's degree or equivalent work experience (minimum 12 years).
• Minimum of 3 years of experience as a machine learning engineer or scientist, deploying models in production at scale.
• Minimum of 3 years of experience in applying theoretical foundations of computer science, including CS architecture and programming.
• Minimum of 1 year of distributed computing systems and architecture (big data, HPC, cloud).
• Minimum of 1 year of experience in building and deploying AI/ML software to a cloud environment.

Responsibilities

• Formulate real-world problems into scalable AI/ML solutions.
• Develop and implement ML algorithms, models, and data pipelines with DevOps & MLOps.
• Customize Deep Learning and GenAI models for various use cases.
• Engage in R&D of new AI/compute algorithms and simulations at client sites.
• Work with large-scale datasets and preprocessing to ensure quality inputs for training.
• Implement and maintain efficient data storage and retrieval for models and knowledge.
• Justify the value of model approaches in business problems.
• Collaborate with business and technical teams to achieve end-to-end project goals.

Skills

Python

TensorFlow

PyTorch

LLMs APIs

Distributed computing

Education

Bachelor's degree or equivalent

MS or PhD in related field

Tools

Docker

Kubernetes

Git

MLflow

Job description

Accenture is seeking an AI/ML Computational Scientist to design, build, and operationalize AI and machine learning solutions for enterprise clients, combining custom models with cloud services to deliver production‑ready outcomes across the full solution lifecycle.

You will reformulate real‑world problems into scalable AI apps, develop models and data pipelines with DevOps & MLOps, tailor deep learning and Gen AI solutions, and collaborate with business and technical teams to deploy reliable