Enterprise AI/ML Systems Engineer

Accenture; Nashville (TN); On-site; USD 83,000 - 165,000; Full time

Job summary

Accenture is seeking an AI/ML Computational Scientist to design and operationalize AI/ML solutions for enterprise clients. You will blend custom models with cloud-native services, spanning model selection, data prep, and scalable pipelines with DevOps and MLOps practices.

You will work across edge devices and HPC, collaborating with both business and technical stakeholders to deliver end-to-end, production-ready outcomes.

Qualifications

• Bachelor's degree or equivalent work experience (minimum 12 years).
• Minimum 3 years of experience deploying ML models in production at scale.
• Experience with distributed computing and cloud environments.
• Experience building AI/ML software for cloud deployment.
• MS or PhD in related field preferred.

Responsibilities

• Formulate real-world problems into scalable AI/ML solutions.
• Develop ML algorithms, models, and data pipelines for training and production with DevOps/MLOps.
• Customize Deep Learning and Gen AI models for business use cases.
• Research new AI algorithms and apply them to client problems at scale.
• Work with large datasets and ensure high-quality data for training.

Skills

Python

Distributed computing

Cloud computing

Machine learning

Gen AI

LLMs APIs

Docker

Education

Bachelor's degree

MS or PhD preferred

Tools

TensorFlow

PyTorch

LLMs APIs

Python

C++

Job description

Accenture is seeking an AI/ML Computational Scientist to design and operationalize AI/ML solutions for enterprise clients. You will blend custom models with cloud-native services, spanning model selection, data prep, and scalable pipelines with DevOps and MLOps practices.

You will work across edge devices and HPC, collaborating with both business and technical stakeholders to deliver end-to-end, production-ready outcomes.