Data Scientist/Machine Learning Engineer – TrueMoney
3 days ago
Develop machine learning models such as credit model, income estimation model and fraud model.
Research on cutting-edge technology to enhance existing model performance.
Explore and conduct feature engineering on existing data set (telco data, retail store data, loan approval data).
Develop sentimental analysis model in order to support collection strategy.
Qualifications.
Bachelor Degree in Computer Science, Operations Research, Engineering, or related quantitative discipline.
2-5 years of experiences in programming languages such as Python, SQL or Scala.
5+ years of hands-on experience in building & implementing AI/ML solutions for senior role.
Experience with python libraries - Numpy, scikit-learn, OpenCV, Tensorflow, Pytorch, Flask, Django.
Experience with source version control (Git, Bitbucket).
Proven knowledge on Rest API, Docker, Google Big Query, VScode.
Strong analytical skills and data-driven thinking.
Strong understanding of quantitative analysis methods in relation to financial institutions.
Ability to clearly communicate modeling results to a wide range of audiences.
Nice to have.
Experience in image processing or natural language processing (NLP).
Solid understanding in collection model.
Familiar with MLOps concepts.
Job skills required: Python, SQL, Research
Job skills preferred: Git, TensorFlow, Scala
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