Enterprise AI/ML Systems Engineer — GenAI & HPC

Accenture; Raleigh (NC); On-site; USD 120,000 - 180,000; Full time

Job summary

Accenture is hiring an AI/ML Computational Scientist to design, build, and operationalize enterprise AI/ML solutions leveraging Deep Learning, Gen AI, and LLMs. You will craft scalable data pipelines, manage model training, and ensure reliability and value across the production lifecycle.

You will work across edge devices, HPC, and cloud environments while collaborating with business and technical teams to deliver end-to-end projects for clients. Travel may be required.

Qualifications

• Bachelor's degree or equivalent work experience (minimum 12 years).
• 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 year of experience in distributed computing systems and architecture (big data, HPC, grid and cloud computing).
• Minimum of 1 year 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 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 preprocessing techniques to ensure high-quality input for training and production.
• Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge.
• Justify the value of model approaches in business problems.
• Collaborate with teams from business and technical sides to achieve end-to-end project goals and production integration.

Skills

Python

TensorFlow

PyTorch

MLOps

Cloud deployment

Education

Bachelor's degree or equivalent (minimum 12 years) work experience

MS or PhD in related field preferred

Tools

TensorFlow

PyTorch

Job description

Accenture is hiring an AI/ML Computational Scientist to design, build, and operationalize enterprise AI/ML solutions leveraging Deep Learning, Gen AI, and LLMs. You will craft scalable data pipelines, manage model training, and ensure reliability and value across the production lifecycle.

You will work across edge devices, HPC, and cloud environments while collaborating with business and technical teams to deliver end-to-end projects for clients. Travel may be required.