Enterprise AI/ML Systems Engineer

Accenture; Minneapolis (MN); On-site; USD 36,000 - 93,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) plan

Paid holidays & PTO

Job summary

Accenture is seeking an AI/ML Computational Scientist to design and operationalize AI/ML solutions for enterprise clients. You will deploy models at scale, build scalable data pipelines with DevOps/MLOps, and apply deep learning and Gen AI to business use cases across cloud environments.

The role spans the full solution lifecycle—from data assessment to production, with opportunities to work on edge devices and HPC and to collaborate with diverse internal and client teams.

Qualifications

• Bachelor's degree or equivalent; minimum 12 years of work experience if using an Associate's degree
• 3+ years deploying ML models in production at scale
• 1+ years in distributed computing, cloud or HPC environments
• 1+ years building AI/ML software for cloud environments

Responsibilities

• Formulate real-world problems into scalable AI/ML solutions
• Develop ML models and scalable data pipelines with MLOps
• Customize DL/Gen AI models for business use cases
• Research new AI methods and run experiments at client sites
• Work with large datasets and ensure high-quality training inputs
• Collaborate with cross-functional teams to deliver end-to-end projects

Skills

Machine learning engineering

Distributed computing

Cloud deployment

Python

ML/DL model deployment

Education

Bachelor's degree or equivalent

MS/PhD preferred

Tools

TensorFlow

PyTorch

Docker

Kubernetes

Job description

Accenture is seeking an AI/ML Computational Scientist to design and operationalize AI/ML solutions for enterprise clients. You will deploy models at scale, build scalable data pipelines with DevOps/MLOps, and apply deep learning and Gen AI to business use cases across cloud environments.

The role spans the full solution lifecycle—from data assessment to production, with opportunities to work on edge devices and HPC and to collaborate with diverse internal and client teams.