AI/ML Computational Scientist for Enterprise Gen AI

Accenture; New York (NY); On-site; USD 33,000 - 107,000; 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.

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, and

Qualifications

• Bachelor's degree or equivalent (minimum 12 years) work experience or more.
• 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.
• Minimum of 1 year in distributed computing systems and architecture (big data, HPC, cloud).
• Minimum of 1 year of experience in building and deploying AI/ML software to a cloud environment.

Responsibilities

• Formulate real-world problems into practical, efficient AI/ML solutions.
• Develop and implement ML algorithms, models, and scalable data pipelines with DevOps & MLOps.
• Customize deep learning and Gen AI models for various use cases per business needs.
• Engage in R&D of new AI and HPC algorithms and simulations for client applications.
• Work with large-scale datasets and data preprocessing for high-quality training input.
• Implement and maintain efficient data storage and retrieval for models and knowledge.

Skills

ML Engineer Experience

Python Proficiency

Model deployment

Distributed computing

CS Foundations

Education

Bachelor's degree or equivalent

Tools

TensorFlow

PyTorch

Java

C++

R

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, and