Production-Ready AI/ML Scientist for Enterprise

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

Job summary

Accenture is actively seeking an AI/ML Computational Scientist to design, build, and operationalize AI/ML solutions for enterprise clients. The role spans the full lifecycle from needs assessment to production deployment, leveraging deep learning, Gen AI, and LLMs while designing scalable pipelines with DevOps & MLOps to ensure reliability and value.

The ideal candidate has 3+ years in ML/AI production, strong CS foundations, and hands-on cloud experience; travel may be required to client sites.

Qualifications

• Bachelor's degree or equivalent (minimum 12 years) work experience.
• Minimum 3 years of experience as a machine learning engineer or scientist, deploying models in production at scale including monitoring and auditing.
• Minimum 3 years of experience in theoretical CS foundations, including computer systems architecture and programming.
• Minimum 1 year of experience in distributed computing and cloud environments.

Responsibilities

• Formulate real-world problems into scalable AI/ML solutions.
• Develop and implement ML algorithms and scalable data pipelines with DevOps & MLOps.
• Customize Deep Learning and Gen AI models for business needs across various use cases.
• Engage in R&D of AI and high-performance compute models and simulations for client use.
• Work with large-scale datasets and employ data preprocessing for training and production.
• Collaborate with cross-functional teams to deploy production-ready systems.

Skills

Machine learning experience

Distributed computing

Cloud deployment

Client communication

Education

Bachelor’s degree or equivalent (12+ years)

Tools

Python

TensorFlow

PyTorch

C++

Java

R

SQL

Job description

Accenture is actively seeking an AI/ML Computational Scientist to design, build, and operationalize AI/ML solutions for enterprise clients. The role spans the full lifecycle from needs assessment to production deployment, leveraging deep learning, Gen AI, and LLMs while designing scalable pipelines with DevOps & MLOps to ensure reliability and value.

The ideal candidate has 3+ years in ML/AI production, strong CS foundations, and hands-on cloud experience; travel may be required to client sites.