Enterprise AI/ML Scientist for Scalable GenAI & HPC

Accenture; Boston (MA); On-site; USD 36,000 - 98,000; Full time

Job summary

Accenture in Boston is seeking an AI/ML Computational Scientist to design, build, and operationalize production-ready AI/ML solutions for enterprise clients. You will work across the full solution lifecycle, from data assessment to model customization, DevOps/MLOps pipelines, and production deployment.

The role requires hands-on experience with Deep Learning, Gen AI, and cloud environments, plus strong collaboration with business teams to deliver measurable outcomes.

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 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

Machine Learning

Deep Learning

Gen AI

Python

Cloud Computing

DevOps

Data Pipelines

Big Data

Communication

Education

Bachelor's degree

MS or PhD preferred

Tools

TensorFlow

PyTorch

LLM APIs

HPC

AWS

Job description

Accenture in Boston is seeking an AI/ML Computational Scientist to design, build, and operationalize production-ready AI/ML solutions for enterprise clients. You will work across the full solution lifecycle, from data assessment to model customization, DevOps/MLOps pipelines, and production deployment.

The role requires hands-on experience with Deep Learning, Gen AI, and cloud environments, plus strong collaboration with business teams to deliver measurable outcomes.