Enterprise AI/ML Scientist & Production Engineer

Accenture; Detroit (MI); On-site; USD 55,000 - 96,000; Full time

Benefits offered by this job

401(k) plan

Bonus opportunities

Paid holidays

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 and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and DevOps & MLOps pipelines for training and production,

Qualifications

• Bachelor's degree or equivalent (minimum 12 years) work experience.
• Minimum of 3 years of experience as an ML engineer or scientist deploying models in production.
• 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, scalable AI/ML 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 business needs, data availability, system and infrastructure requirements.
• Engage in research and development of new AI and high-performance compute algorithms, models, and simulations for client applications.
• 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 to achieve end-to-end project goals and production integration.

Skills

ML Deployment

Python

Distributed Computing

Cloud Computing

Data Pipelines

Gen AI / LLMs

Education

Bachelor's degree or equivalent

Tools

TensorFlow

PyTorch

C++

SQL

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 and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and DevOps & MLOps pipelines for training and production,