AI/ML Systems Engineer — Scalable Production Models

Accenture; City of Albany (NY); On-site; USD 69,974,000 - 223,157,000; Full time

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. You will design scalable data and DevOps/MLOps pipelines for training and production, and ensure quality, value, and reliability of deployed systems.

The role covers the full solution lifecycle, from assessing client needs and data to model selection and customization

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
• 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
• Engage in research and development of new AI and high-performance compute algorithms, models, and simulations
• 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 integrate into production

Skills

Python

PyTorch

TensorFlow

LLM APIs

C++

Java

R

SQL

Cloud platforms

English communication

Education

Bachelor's degree

Tools

TensorFlow

PyTorch

Docker

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. You will design scalable data and DevOps/MLOps pipelines for training and production, and ensure quality, value, and reliability of deployed systems.

The role covers the full solution lifecycle, from assessing client needs and data to model selection and customization