Enterprise AI/ML Scientist — Scalable Production Models

Accenture; Minneapolis (MN); On-site; USD 75,618,000 - 192,871,000; Full time

Job summary

Accenture is seeking an AI/ML Computational Scientist to design, build, and operationalize enterprise AI solutions. You will combine custom models with cloud services to deliver production-ready outcomes across the full lifecycle.

The role includes translating problems into scalable AI, developing models and data pipelines with DevOps/MLOps, and collaborating with business and technical teams to deploy reliable systems.

Qualifications

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

Responsibilities

• Formulate real-world problems into scalable AI/ML solutions.
• Develop algorithms, models, and pipelines for training and production with DevOps/MLOps.
• Customize DL/Gen AI models for various use cases based on data and infra requirements.
• Engage in R&D of new AI algorithms and simulations for client projects.
• Work with large datasets and apply preprocessing for high-quality inputs.
• Collaborate with cross-functional teams to deliver end-to-end projects.

Skills

Machine Learning

Deep Learning

Generative AI

DevOps

MLOps

Python

C++

Cloud Computing

LLMs

Education

Bachelor's degree or equivalent

MS or PhD preferred

Tools

TensorFlow

PyTorch

Python

AWS

Azure

SQL

R

Java

Job description

Accenture is seeking an AI/ML Computational Scientist to design, build, and operationalize enterprise AI solutions. You will combine custom models with cloud services to deliver production-ready outcomes across the full lifecycle.

The role includes translating problems into scalable AI, developing models and data pipelines with DevOps/MLOps, and collaborating with business and technical teams to deploy reliable systems.