AI/ML Computational Science Lead

Accenture PLC

Hong Kong

On-site

HKD 600,000 - 1,100,000

Full time

3 days ago
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Job summary

Accenture PLC in Hong Kong 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.

You will work with large-scale data, develop scalable data pipelines, and apply Deep Learning and Gen AI models across use cases, collaborating with business and technical stakeholders to accelerate client value.

Qualifications

  • Bachelor's degree in data science, AI, statistics, economics, or related field.
  • At least 3 years of production ML experience.
  • Proficiency in Python and ML frameworks (TensorFlow, PyTorch).
  • Strong communication and client-facing skills in a consulting context.
  • Experience with LLM APIs and AI model optimization.

Responsibilities

  • Formulate real-world problems into scalable AI and ML solutions.
  • Develop and deploy ML models and data pipelines with DevOps/MLOps.
  • Customize Deep Learning and Gen AI models for business needs.
  • Research new AI algorithms and apply them to client problems.
  • Work with large-scale datasets and ensure high-quality data for training and production.
  • Collaborate with cross-functional teams to deliver end-to-end projects.
  • Explain model value to business stakeholders.
  • Support production deployment and monitoring.

Skills

Python
LLM APIs
Communication
Client-facing
Cross-functional
Entrepreneurial mindset

Education

Bachelor's degree

Tools

TensorFlow
PyTorch

Job description

Accenture PLC in Hong Kong 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.

You will work with large-scale data, develop scalable data pipelines, and apply Deep Learning and Gen AI models across use cases, collaborating with business and technical stakeholders to accelerate client value.

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