Enterprise AI/ML Computational Scientist & MLOps Engineer

Accenture; Boston (MA); On-site; USD 36,000 - 99,000; Full time

Job summary

Accenture plc in Boston, MA is seeking an AI/ML Computational Scientist to design, build, and operationalize AI/ML solutions for enterprise clients. You will combine custom models with cloud services to deliver production-ready outcomes across the full solution lifecycle.

The role involves developing scalable data pipelines, applying deep learning and Gen AI, and collaborating with cross-functional teams to achieve end-to-end production goals.

Qualifications

• Bachelor's degree or equivalent with at least 12 years of work experience.
• Minimum 3 years deploying ML models in production at scale.
• Minimum 3 years CS foundations: architecture, systems, programming.
• Minimum 1 year in distributed computing and cloud deployment.
• Travel may be required; role may involve client sites.

Responsibilities

• Formulate real-world problems into scalable AI/ML solutions.
• Develop ML models and data pipelines for training and production with MLOps.
• Customize deep learning and Gen AI models for business use cases.
• Conduct R&D on new AI algorithms and simulations for clients.
• Process large datasets with robust data preprocessing.
• Implement efficient storage and retrieval for models and knowledge.
• Justify model choices based on business value.
• Collaborate with business and technical teams to deliver end-to-end projects.

Skills

Machine Learning

Distributed Computing

Cloud Computing

Communication

Education

Bachelor's degree or equivalent

MS or PhD preferred

Tools

Python

TensorFlow

PyTorch

LLM APIs

Job description

Accenture plc in Boston, MA is seeking an AI/ML Computational Scientist to design, build, and operationalize AI/ML solutions for enterprise clients. You will combine custom models with cloud services to deliver production-ready outcomes across the full solution lifecycle.

The role involves developing scalable data pipelines, applying deep learning and Gen AI, and collaborating with cross-functional teams to achieve end-to-end production goals.