Lead Specialist/Senior Model Operation Specialist - Management Center data value

3-5 years
1 Applied
Job Description

Job Description

Title Purpose

  • In charge of transforming AI models / Machine Learning (ML) has been developed and delivered by the Bank's internal Data Science teams or external partners into reliable, scalable, integrated products across the operating environment. service suitable to the needs of the beneficiary organization

Job Description
  • In charge of the development deploy, monitor, and ensure the performance of data development (AI/ML) products on the operating environment during the entire product life cycle, in accordance with the use needs of the beneficiaries
  • Collaborate closely with development units in NH (Data Engineer team, DevOps, Architecture) in designing and building data processing flows (data pipeline) to collect, standardize and build feature engineering variables for the model
  • Coordinate with the Data Scientist team in NH to plan the implementation of calibration and maintenance of the ML model in case model performance falls below the allowable threshold
  • Develop or deploy the right tools, services, and platforms for building, training, and using the model for project prediction. predict
  • Research and develop systems to monitor and evaluate model performance, proactively plan to deal with major problems for ML systems such as data changes data drift v model drift
  • Learn and evaluate new technologies in improving responsiveness, reliability, and operability of ML system
  • Apply best practices, software engineering techniques and experiences to all stages of the ML system lifecycle including CI/CD, automation, data and code version control
  • Job Req uirement

    a. Experience
    - CVC: Prefer 1 year or more experience in the field of model operation (ML Ops) or 2 years or more experience in one of the following fields : DevOps Engineer / Software Engineer / Data Engineer and interested in learning and changing careers to the field of model operation (ML Ops) - CV: Have less than 6 months of experience or have no experience in the field of model operation (ML Ops) but have background, less than one year of experience in one of the positions such as: Data Scientist, DevOps Engineer / Software Engineer (Software Engineer) / Data Engineer (Data Engineer) v oriented to move into the field of model operation (ML Ops).
    b. Professional Requirements
    YMinimum Requirements:
    + Proficient in Python programming v specialized libraries for Data Science such as: scikit-learn, Keras, TensorFlow or PyTorch
    + Have practical experience in building ML models from start to finish (end-to-end) or participate in contests on Kaggle or equivalent platforms.
    Preference will be given to candidates:
    + Implemented and operated under monitor the ML model in practice and have experience in using tools for the above purposes such as Weights & Biases, MLflow, Kubeflow or equivalent.
    + Hands-on experience in developing, operating and tracking models on IBM Cloud Paks for Data platform
    + Yes Hands-on experience or exposure to tools such as Hadoop, Spark, Airflow or Kafka for building data pipelines
    + Experience in developing applications applications, web or API using Python or other languages
    + Ability to use tools such as Git, virtualization platforms such as Docker, Kubernetes and tools for CI/ CD like Jenkins, Gitlab or similar
    + Experience working in financial institutions/banks/tech companies.
    Skills /other requirements
    - Careful, meticulous, able to work well under pressure and able to work well in a team

    - Active, creative, willing to take responsibility in turning original ideas into more perfect products .
    Job tags:





    TPBank is a bank of Vietnam. It was founded on 5 May 2008, TPBank inherits technological expertise and financial strength from its strategic shareholders, including DOJI Gold and Gems Group, FPT Corporation, MobiFone Corporation, Vietnam National Reinsurance and SBI Ven Holding Pte. Ltd, Singapore

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