Production-ready AI/ML Engineer (MLOps)

Accenture; Carmel (IN); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Medical

Dental

Vision

Life Insurance

401(k) plan

Bonus opportunities

Paid holidays

Paid time off

Job summary

Accenture 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, design scalable data and MLOps pipelines, and ensure quality, value, and reliability of deployed systems.

Travel 0–100% may be required. The role spans problem assessment, model selection and customization, and end-to-end production integration with cross-functional teams across business and technical domains.

Qualifications

• Minimum 12 years of work experience with a bachelor’s degree or equivalent.
• Minimum 3 years of experience as a machine learning engineer or scientist deploying models at scale.
• Minimum 3 years of experience applying computer science foundations including systems and programming.
• Minimum 1 year of experience in distributed computing and large-scale data processing.
• Minimum 1 year of experience building and deploying AI/ML software to cloud environments.

Responsibilities

• Formulate real-world problems into scalable AI/ML solutions.
• Develop ML models and scalable data pipelines with DevOps/MLOps.
• Customize Deep Learning and Gen AI models for business use cases.
• Research and develop new AI/compute algorithms and simulations for clients.
• Work with large datasets and data preprocessing for model training.
• Implement and maintain data storage and retrieval for models and knowledge.
• Justify model approaches to business problems.
• Collaborate across business and technical teams to productionize solutions.

Skills

Machine learning

Distributed computing

Cloud deployment

Python

Communication

Education

Bachelor's degree or equivalent

MS/PhD preferred

Tools

TensorFlow

PyTorch

LLM APIs

Python

C++

Java

R

SQL

Job description

Accenture 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, design scalable data and MLOps pipelines, and ensure quality, value, and reliability of deployed systems.

Travel 0–100% may be required. The role spans problem assessment, model selection and customization, and end-to-end production integration with cross-functional teams across business and technical domains.