AI/ML Systems Manager for Production-Scale Models

Accenture Infrastructure and Capital Projects, LLC; Hong Kong; On-site; HKD 900,000 - 1,500,000; Full time

Job summary

Accenture seeks an AI/ML Computational Scientist to design, build, and operationalize AI/ML solutions for enterprise clients. You will combine custom models with cloud services to deliver production-ready outcomes and scalable data pipelines to support model training and production.

You will work with large datasets, apply DL/Gen AI models, and engage in R&D of high-performance compute algorithms for client sites, emphasizing responsible AI and collaboration across cross-functional teams.

Qualifications

• Bachelor’s degree in a related field; data science/AI preferred
• At least 3 years deploying ML models in production
• Strong Python and AI/ML libraries background
• Experience with language models and optimizing their usage
• Excellent written and verbal communication for stakeholders
• Strong client-facing skills in a consulting environment
• Cross-functional collaboration with diverse teams

Responsibilities

• Formulate real-world problems into scalable AI/ML solutions.
• Develop and deploy ML models and data pipelines with DevOps/MLOps.
• Customize DL and Gen AI models for business needs (edge/HPC).
• Engage in R&D of new AI/compute algorithms and simulations.
• Work with large-scale datasets and data preprocessing.
• Implement and maintain efficient model storage and retrieval systems.
• Justify model approaches for business impact.
• Collaborate with business and technical teams to deliver end-to-end projects.

Skills

Python

ML deployment

Model development

Communication

Client-facing

Cross-functional teams

Entrepreneurial mindset

Education

Bachelor’s degree in data science/AI

Tools

TensorFlow

PyTorch

LLM APIs

Job description

Accenture seeks an AI/ML Computational Scientist to design, build, and operationalize AI/ML solutions for enterprise clients. You will combine custom models with cloud services to deliver production-ready outcomes and scalable data pipelines to support model training and production.

You will work with large datasets, apply DL/Gen AI models, and engage in R&D of high-performance compute algorithms for client sites, emphasizing responsible AI and collaboration across cross-functional teams.