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Sr Machine Learning Engineer (Fintech)

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Sr Machine Learning Engineer (Fintech)

  • Location:


  • Sector:

    Monroe Professional Services

  • Job type:


  • Salary:


  • Contact:

    Jeremy Gemarista

  • Contact email:

  • Job ref:


  • Published:

    2 months ago

  • Expiry date:


  • Client:

    Monroe Consulting Group

Executive recruitment consultant Monroe Consulting Group Indonesia is recruiting on behalf of one of the leading fintech company in Indonesia. Our respected client is seeking a professional for Sr Machine Learning Engineer. The job is based in Jakarta.

Key Responsibilities:

  • Collaborate with experienced engineers, data scientists, and product owners to identify business opportunities, design new data pipelines from scratch, and deploy them to production.
  • Develop solutions for real-world, large-scale problems and improve the scalability, speed, and performance of existing models.
  • Contribute to the full life cycle of ML models, including making data collection, data analysis, modeling, tuning, and productization more efficient and effective.
  • Develop MLOps solutions to ensure that all machine learning models are working correctly in the production environment.


  • Hold a bachelor's degree in computer science, data science, statistics, mathematics, or a related field.
  • Demonstrate fluency in SQL and Python programming languages.
  • Have at least three years of experience working in machine learning, data science, data engineering, computer science, or a similar role.
  • Be familiar with machine learning, MLOps, and the challenges of implementing ML in production environments.
  • Have an excellent understanding of computer science fundamentals, such as algorithms and data structures, with experience in writing production-ready code and promoting engineering best practices like version control, testing, and DRY.
  • Possess strong development skills in building data pipelines (both streaming and batch) throughout all stages of the ML lifecycle.
  • Have experience working with task scheduling tools like Airflow, Prefect, or equivalent.
  • Be results-oriented and willing to thrive in a fast-paced and dynamic environment.
  • Exhibit exceptional attention to detail, being critical and careful in interpreting and reviewing results.
  • Experience working with Feast, MLFlow is a plus.
  • Be a team player who collaborates well with others.
  • Demonstrate strong communication skills and fluency in the English language.