Production-Ready AI/ML Scientist for Enterprise

Accenture; Cleveland (OH); On-site; USD 33,000 - 85,000; Full time

Job summary

Accenture is seeking an AI/ML Computational Scientist to design, build, and operationalize AI/ML solutions for enterprise clients. The role spans the full lifecycle—from data assessment to model deployment—emphasizing scalable data pipelines, DevOps and MLOps practices, and reliable production outcomes.

Travel may be required; roles involve collaboration with business and technical teams to implement cutting-edge DL, Gen AI, and LLM-based solutions across cloud environments.

Qualifications

• Bachelor’s degree or equivalent work experience.
• Minimum of 3 years of experience in machine learning engineering or scientist roles with production deployments.
• Experience applying theoretical CS foundations including system architecture and programming.
• Experience in distributed computing and cloud-based AI/ML software deployment.

Responsibilities

• Formulate real-world problems into scalable AI/ML solutions.
• Develop and implement ML models and data pipelines for training and production.
• Customize DL/Gen AI models for diverse use cases with edge/HPC considerations.
• Engage in R&D of new AI/ HPC algorithms and simulations for client problems.
• Work with large-scale data and preprocessing to ensure high-quality inputs.
• Implement and maintain data storage/retrieval for models and knowledge.
• Justify model approaches in business contexts.
• Collaborate with business and technical teams to deliver end-to-end projects.

Skills

Bachelor’s degree

ML experience

Distributed computing

Cloud deployment

Education

Bachelor’s degree

Tools

Python

TensorFlow

PyTorch

C++

Job description

Accenture is seeking an AI/ML Computational Scientist to design, build, and operationalize AI/ML solutions for enterprise clients. The role spans the full lifecycle—from data assessment to model deployment—emphasizing scalable data pipelines, DevOps and MLOps practices, and reliable production outcomes.

Travel may be required; roles involve collaboration with business and technical teams to implement cutting-edge DL, Gen AI, and LLM-based solutions across cloud environments.