Production-Scale AI/ML Engineer for Enterprise

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

Benefits offered by this job

401(k) plan

Bonus opportunities

Paid holidays

Paid time off

Job summary

Accenture is seeking an AI/ML Computational Scientist to design, build, and operationalize AI/ML solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes. Your role spans the full solution lifecycle—assessing client needs, selecting models, and designing scalable data and DevOps/MLOps pipelines for training and production.

You will work with large datasets, deploy models at scale, and collaborate with business and

Qualifications

• Bachelor's degree or equivalent (minimum 12 years) work experience.
• 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 computer system architecture, system engineering, and programming.
• Minimum of 1 years of experience in distributed computing systems and architecture that may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks.
• Minimum of 1 years of experience in building and deploying AI/ML based software to a cloud environment.

Responsibilities

• Formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions.
• Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps & MLOps.
• Customize and apply Deep Learning and Gen AI models for various use cases based on the business needs, data availability, system and infrastructure requirements - including edge device and HPC.
• Engage in research and development of new AI and high-performance compute algorithms, models, and simulations along with their applications to solve complex business problems at client sites.
• Work with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and production.
• Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools.
• Justify the value of model approaches in business problems.
• Collaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate into production.

Skills

Python

TensorFlow

PyTorch

C++

Java

R

SQL

MLOps

Distributed computing

Cloud computing

Education

MS or PhD in related field

Bachelor's degree or equivalent

Tools

Docker

Kubernetes

Cloud platforms

Job description

Accenture is seeking an AI/ML Computational Scientist to design, build, and operationalize AI/ML solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes. Your role spans the full solution lifecycle—assessing client needs, selecting models, and designing scalable data and DevOps/MLOps pipelines for training and production.

You will work with large datasets, deploy models at scale, and collaborate with business and