Data Science Innovator

2 weeks ago

Singapore beBeeEngineer Full time $80,000 - $150,000
AI Model Engineer

We are seeking a highly skilled AI Model Engineer to join our team.

The ideal candidate will have a strong foundation in machine learning and deep learning, with experience in designing and implementing models based on business requirements.

This role requires a detail-oriented individual who can collect, clean, preprocess, and engineer features for model training, as well as develop and maintain efficient automated data processing pipelines.

The successful candidate will stay up-to-date with the latest algorithms and technology trends, optimizing model structures and algorithms for improved accuracy and robustness.

In addition to technical skills, this role requires excellent communication and collaboration skills, with the ability to work cross-functionally in a team environment.

The position offers a dynamic and inclusive work environment, with opportunities for growth and professional development.

We welcome applications from talented individuals who share our passion for innovation and excellence.

Key Responsibilities:

  • Design and implement machine learning and deep learning models based on business requirements.
  • Collect, clean, preprocess, and engineer features for model training.
  • Develop and maintain efficient automated data processing pipelines.
  • Stay up-to-date with the latest algorithms and technology trends.
  • Optimize model structures and algorithms for improved accuracy and robustness.
  • Collaborate with R&D and operations teams to ensure smooth deployment of models.

Required Skills and Qualifications:

  • Bachelor's degree or higher in Computer Science, Data Science, Statistics, Mathematics, or a related field.
  • Strong foundation in machine learning and deep learning.
  • Proficiency in Python and data processing libraries such as Pandas, NumPy, and Scikit-Learn.
  • Hands-on experience with deep learning frameworks like TensorFlow, PyTorch, or Keras.
  • Proven experience in model training, tuning, and inference optimization.
  • Excellent analytical and problem-solving skills.
  • Effective communication and collaboration skills.

Benefits:

  • Dynamic and inclusive work environment.

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