Enterprise AI/ML Scientist — Production-Ready Solutions

Accenture; Overland Park (KS); On-site; USD 83,000 - 124,000; Full time

Job summary

Accenture is seeking an AI/ML Computational Scientist to design, build, and operationalize AI/ML solutions for enterprise clients, spanning model customization, cloud services, and end-to-end deployment.

You will work on scalable data pipelines, Gen AI and LLM use cases, and collaborate across business and technical teams to deliver production-ready outcomes with a strong emphasis on quality, value, and reliability.

Qualifications

• Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience)
• Minimum of 3 years of experience as a machine learning engineer or scientist, deploying models in production at scale , including monitoring, alerting, automatic bug filing and auditing.
• 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

Deep Learning

Gen AI

LLMs APIs

TensorFlow

PyTorch

C++

Java

R

SQL

Distributed computing

Cloud experience

Education

Bachelor\'s degree or equivalent

MS or PhD preferred

Tools

TensorFlow

PyTorch

Docker

Kubernetes

Python

Job description

Accenture is seeking an AI/ML Computational Scientist to design, build, and operationalize AI/ML solutions for enterprise clients, spanning model customization, cloud services, and end-to-end deployment.

You will work on scalable data pipelines, Gen AI and LLM use cases, and collaborate across business and technical teams to deliver production-ready outcomes with a strong emphasis on quality, value, and reliability.