Machine Learning Engineer (Fintech)

Location: Jakarta, Indonesia

Company

Building fast, affordable, and accessible financial services with a focus on user experience.

What you will do

• Develop ML pipeline infrastructure for credit scoring, fraud, risk, and other financial models.
• Build ETL processes that transform raw data into model features.
• Create platforms to automate ML training, testing, and maintenance.
• Partner with Data Scientists to turn predictive model prototypes into high-performance, integrated production systems.
• Ensure data science code is maintainable, scalable, robust, and debuggable.

Requirements

• 2–3 years of relevant Data or Software Engineering experience, including 1–2 years deploying ML models and feature pipelines.
• Strong knowledge of data structures, data modeling, and software architecture for Machine Learning.
• Production-ready Python and Go programming skills.
• Strong experience with relational databases such as MySQL and PostgreSQL, plus NoSQL platforms such as S3.
• Experience with ML libraries including TensorFlow/Keras, PyTorch, SparkML, or MLeap.
• Experience with cloud services for data pipelines, monitoring, scheduling, and storage, preferably AWS; familiarity with Hadoop or Spark is required.

Culture & Benefits

• Work on financial technology products designed to make financial services more accessible.
• Collaborate closely with Data Scientists and cross-functional teams.
• Build scalable and reliable Machine Learning and AI-related services.

Hiring process

• Qualified candidates will be contacted by the Talent Acquisition team by phone or email.