Machine Learning Engineer

Singapore Permanent Work from Home or Hybrid
  • Permanent position
  • Opportunity to work in a global team

About Our Client

Our client is committed to becoming the world's leading net zero technology partner. The brand established themselves as a leading solutions provider for intelligent renewable energy generation, consumption efficiency and smart and flexible storage.

They are looking for a Data Scientist to developed and adapt advanced computer vision and state-of-the-art deep learning techniques for weather parameter nowcasting.

Job Description

  • Providing data exploration with raw weather attributes, like wind speed, humidity, rainfall, and able to the find and explore underlying relations among various weather attributes.
  • Maintaining and improving existing machine learning and deep learning models for various weather attributes, wind, temperature, rainfall, lightning, etc.
  • Developing and adapting advanced computer vision and state-of-the-art deep learning techniques for weather parameter nowcasting, e.g., rainfall, wind, lightning, temperature etc.
  • Providing technical support for business development team to successfully execute R&D projects and continue to grow our business.

The Successful Applicant

The successful candidate will have a Degree/Masters in computer science, applied mathematics, electrical engineering or related technical discipline with at least 3 years working experience of designing and building advanced machine learning models. You will have strong programming skills in Python and experience in deep learning framework (PyTorch, Tensor flow).

What's on Offer

  • Organization with strong Business Growth
  • Excellent Benefit and Compensation Package
Syairah Banu
Quote job ref
Phone number
+65 6416 9818

Job summary

IT Data Analysis
What is your area of specialisation?
Energy & Natural Resources
Contract Type
Consultant name
Syairah Banu
Consultant contact
+65 6416 9818
Job Reference
Work from Home
Work from Home or Hybrid

Diversity & Inclusion at Michael Page

We don't just accept difference - we celebrate it. We encourage applicants from all backgrounds to apply for this role and are committed to building inclusive, diverse workplaces where everyone can thrive. If you require any support or reasonable adjustments during the recruitment process, please let us know.