Enterprise AI/ML Scientist — Production-Ready Solutions

Accenture; Hartford (CT); On-site; USD 36,000 - 92,000; Full time

Benefits offered by this job

Medical benefits

401(k)

Paid time off

Job summary

Accenture seeks an AI/ML Computational Scientist to design, build, and operationalize AI/ML solutions for enterprise clients. You will work across the full solution lifecycle, from data assessment to model deployment, including Deep Learning, Gen AI, and LLM integrations.

You will design scalable data and DevOps pipelines for training and production. The role involves collaboration with business and technical teams, travel up to 100%, and a focus on producing production-ready outcomes with

Qualifications

• Bachelor's degree or equivalent experience (minimum 12 years)
• Minimum of 3 years as a machine learning engineer or scientist
• Experience deploying models in production at scale
• Experience in distributed computing or cloud environments
• Experience 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 with DevOps & MLOps
• Customize DL/Gen AI models for business needs including edge devices
• Engage in R&D of new AI algorithms and simulations for client use
• Work with large datasets and ensure high-quality training data
• Maintain efficient data storage and retrieval for models and knowledge

Skills

Machine learning

Deep learning

Generative AI

Large language models

Python

TensorFlow

PyTorch

C++

Education

Bachelor's degree

Tools

TensorFlow

PyTorch

Python

C++

Job description

Accenture seeks an AI/ML Computational Scientist to design, build, and operationalize AI/ML solutions for enterprise clients. You will work across the full solution lifecycle, from data assessment to model deployment, including Deep Learning, Gen AI, and LLM integrations.

You will design scalable data and DevOps pipelines for training and production. The role involves collaboration with business and technical teams, travel up to 100%, and a focus on producing production-ready outcomes with