Offers “Procter & Gamble”

Expires soon Procter & Gamble

Research & Development - Machine Learning Engineer

  • Singapore
  • Design / Civil engineering / Industrial engineering

Job description

Description

Keen to join one of the top employers in Singapore & the globe?

Do you want to be part of an exciting innovation journey for brands like SK-II, Olay, Gillette, Pantene, Head & Shoulders, Joy & Vicks?

Passionate about developing new capabilities in data science in our vibrant & growing R&D Singapore Innovation Center?

We are looking for a talented individual to join our upstream Beauty Technology group. We focus on delivering breakthrough, transformational new technology platforms for Beauty and Hair Care categories.

Role Description:

• Develop and implement machine learning tools to extract insights from large proprietary image and text databases

• Partner with technical experts in multi-functional teams to assess and innovate superior approaches for large-scale data analytics and integration

• Help the team deploy models to practice and make frequent model improvements as new data is available

Qualifications

• M.S/Ph.D. in Computer Science, Applied Mathematics, or related field, relevant industrial experience is an advantage

• Good knowledge in variety of advanced data analysis and machine learning techniques, and experience in designing solutions in response to real-world business problems

• Experience in working with large unstructured datasets, deep Learning, computer vision algorithms and applying novel machine learning techniques to generate novel insights

• Proficient with programming languages such as Python and R

• Hands-on experience with Tensor Flow, Keras, MXnet, Caffe, Torch, or other deep learning framework

• Familiarity with Linux environments, and setting up and executing machine learning tasks on AWS/Google Cloud/Microsoft Azure

• Experience in working with common database platforms is a plus.

• Skilled in rapid prototyping and quick experimentation in working with machine learning models

Make every future a success.
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