AI/ML Computational Scientist for Production-Scale Enterprise AI

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

Job summary

Accenture is seeking an AI/ML Computational Scientist to design, build, and operationalize AI/ML solutions for enterprise clients. This role involves leveraging Deep Learning, Gen AI, and LLMs, designing scalable data and MLOps pipelines, and ensuring reliable production-grade models.

Travel may be required; 0–100% depending on client needs. Strong programming (Python/C++/Java/R/SQL) and excellent communication are essential for collaboration across business and technical teams.

Qualifications

• Bachelor’s degree or equivalent work experience (minimum 12 years).
• 3+ years experience deploying ML models at scale, in production.
• 1+ years distributed computing/big data or cloud computing experience.
• 1+ years building AI/ML software for cloud environments.

Responsibilities

• Formulate real-world problems into scalable AI/ML solutions.
• Develop and implement ML algorithms and data pipelines for training and production with DevOps & MLOps.
• Customize DL/Gen AI models for various use cases based on business needs.
• Engage in R&D of new AI and HPC algorithms for client solutions.
• Work with large-scale datasets and preprocessing for high-quality inputs.
• Maintain efficient data storage and retrieval for models and knowledge.
• Justify model approaches to business problems.
• Collaborate with business and technical teams to achieve end-to-end goals.

Skills

Python

LLM APIs

Programming languages

Communication skills

Client-facing

Entrepreneurial mindset

MS/PhD preferred

Education

Bachelor's degree or equivalent

MS or PhD in related field preferred

Tools

TensorFlow

PyTorch

Job description

Accenture is seeking an AI/ML Computational Scientist to design, build, and operationalize AI/ML solutions for enterprise clients. This role involves leveraging Deep Learning, Gen AI, and LLMs, designing scalable data and MLOps pipelines, and ensuring reliable production-grade models.

Travel may be required; 0–100% depending on client needs. Strong programming (Python/C++/Java/R/SQL) and excellent communication are essential for collaboration across business and technical teams.