AI/ML Production Solutions Lead

7100 Accenture Co Ltd Company; Hong Kong; On-site; HKD 700,000 - 1,000,000; Full time

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 to deliver production-ready outcomes and work across data platforms and toolchains to enable scalable, responsible AI at client sites.

You will bring 3+ years in ML engineering/science, strong Python and DL framework skills, and the ability to communicate complex concepts to non-technical stakeholders in a consulting

Qualifications

• Minimum of bachelor’s degree in a related field; data science/AI/statistics/economics preferred.
• 3+ years of experience deploying ML models in production at scale.
• Strong foundations in computer science and programming.
• Experience with Python-based AI/ML frameworks and libraries.

Responsibilities

• Formulate real-world problems into scalable AI/ML solutions.
• Develop and deploy ML models and data pipelines with DevOps/MLOps.
• Customize DL/Gen AI models for various business use cases.
• Research new AI/high-performance compute algorithms and simulations.
• Work with large-scale datasets and preprocess data for training/production.
• Justify model approaches and communicate with stakeholders.

Skills

Python proficiency

TensorFlow

PyTorch

DevOps & MLOps

LLM APIs

Communication skills

Education

Bachelor’s degree in data science/AI/statistics/economics

Tools

TensorFlow

PyTorch

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 to deliver production-ready outcomes and work across data platforms and toolchains to enable scalable, responsible AI at client sites.

You will bring 3+ years in ML engineering/science, strong Python and DL framework skills, and the ability to communicate complex concepts to non-technical stakeholders in a consulting