Enterprise AI/ML Engineer (Gen AI & MLOps)

Accenture; Mountain View (CA); On-site; USD 36,000 - 107,000; Full time

Benefits offered by this job

Medical, dental, vision

401(k) plan

Paid holidays and time off

Job summary

Accenture is seeking an AI/ML Computational Scientist to design, build, and operationalize AI and ML solutions for enterprise clients, combining custom models with cloud and third‑party AI services to deliver production‑ready outcomes.

Your work spans the full solution lifecycle—from assessing needs and data to selecting models, designing scalable data and DevOps & MLOps pipelines, and ensuring quality, value, and reliability of deployed systems.

Qualifications

• Bachelor’s degree or equivalent work experience (min 12 years).
• At least 3 years of experience in ML engineering or science deploying models at scale.
• Experience with distributed computing and cloud deployment.

Responsibilities

• Formulate real-world problems into scalable AI/ML solutions.
• Develop and productionize ML models and data pipelines with DevOps & MLOps.
• Collaborate with cross-functional teams and clients to deliver end-to-end solutions.

Skills

Machine learning

Python

Distributed computing

Cloud deployment

Communication skills

Education

Bachelor's degree or equivalent

MS/PhD preferred

Tools

TensorFlow

PyTorch

LLM APIs

Job description

Accenture is seeking an AI/ML Computational Scientist to design, build, and operationalize AI and ML solutions for enterprise clients, combining custom models with cloud and third‑party AI services to deliver production‑ready outcomes.

Your work spans the full solution lifecycle—from assessing needs and data to selecting models, designing scalable data and DevOps & MLOps pipelines, and ensuring quality, value, and reliability of deployed systems.