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Machine Learning Engineer

  • Location:

    Hong Kong

  • Sector:


  • Job type:


  • Salary:


  • Contact:

    Krishna Kohli

  • Contact email:

  • Job ref:


  • Published:

    26 Tage her

  • Expiry date:


Machine Learning Engineer

We are seeking a highly skilled and motivated Machine Learning Engineer to join our team at the largest retail group. As a Machine Learning Engineer, you will play a critical role in developing and implementing cutting-edge machine learning algorithms and models to optimise our retail operations and enhance customer experiences. You will work closely with our data science and engineering teams to drive innovation and deliver impactful solutions.


- Develop and implement machine learning models and algorithms to address complex business challenges in the retail industry

- Collaborate with cross-functional teams to understand business requirements and translate them into machine learning solutions

- Design and optimize machine learning pipelines for data preprocessing, feature engineering, and model training

- Work on projects related to customer segmentation, demand forecasting, recommendation systems, pricing optimization, and other retail-specific use cases

- Integrate machine learning solutions into our retail systems and applications to drive operational efficiencies and improve customer experiences


- 2+ years of relevant work experience including deployment of machine learning algorithms

- Proven experience in developing and implementing machine learning models and algorithms in a commercial or industrial setting

- Strong programming skills in languages such as Python, R, or Java

- Experience with machine learning frameworks and libraries such as TensorFlow, Keras, PyTorch, or scikit-learn

- Solid understanding of machine learning concepts and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning

This firm has the best Data Science and Machine Learning team, and if you're potentially interested to explore further, please apply with your most updated CV.

Apply NOW!

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