Enterprise AI/ML Engineer | GenAI & MLOps

Accenture; Atlanta (GA); On-site; USD 36,000 - 107,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

401(k)

Paid time off

Job summary

Accenture is seeking an AI/ML Computational Scientist to design, build, and operationalize AI/ML solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes. You will design scalable data and DevOps & MLOps pipelines to support training and production, and ensure quality, value, and reliability of deployed systems.

Travel may be required; collaborate with business and technical teams to achieve end-to-end project goals and

Qualifications

• Bachelor's degree or equivalent work experience (minimum 12 years).
• 3+ years deploying ML models in production at scale with monitoring and auditing.
• 1+ years in distributed computing, big data, and cloud environments.
• 1+ years building ML software for cloud deployment.

Responsibilities

• Formulate real-world problems into scalable AI/ML solutions.
• Develop ML algorithms, models, and scalable data pipelines with DevOps & MLOps.
• Customize Deep Learning and Gen AI models for diverse use cases.
• Research new AI algorithms and apply them to client problems.
• Work with large datasets and ensure high-quality training data.
• Implement efficient storage and retrieval for models and knowledge.
• Justify model approaches in business terms.
• Collaborate with business and technical teams for end-to-end delivery.

Skills

Python

C++

Java

TensorFlow

PyTorch

LLM APIs

MLOps

Cloud

Education

Bachelor's degree

MS or PhD preferred

Tools

Docker

Kubernetes

AWS

GCP

Job description

Accenture is seeking an AI/ML Computational Scientist to design, build, and operationalize AI/ML solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes. You will design scalable data and DevOps & MLOps pipelines to support training and production, and ensure quality, value, and reliability of deployed systems.

Travel may be required; collaborate with business and technical teams to achieve end-to-end project goals and