Machine Learning Engineer
Kredivo Group2 months ago
Jakarta, IndonesiaMid Level
Responsibilities
- Develop ML pipeline infrastructure, including ETL processes that transform raw data into model features.
- Build platforms to automate machine learning training, testing, and maintenance.
- Partner with Data Scientists to transform predictive-model prototypes into high-performance, well-integrated systems.
- Ensure data science code is maintainable, scalable, and debuggable.
- Build scalable and reliable machine learning engineering and AI-related services using cloud and distributed-computing platforms.
Requirements
- 2–3 years of relevant experience in Data or Software Engineering.
- At least 1–2 years of hands-on experience deploying machine learning models and feature pipelines.
- Knowledge of data structures, data modeling, and software architecture related to machine learning.
- Ability to write robust, production-ready code in Python and Go.
- High proficiency with RDBMS such as MySQL and PostgreSQL and NoSQL platforms such as S3.
- Proficiency with machine learning libraries such as TensorFlow/Keras, PyTorch, SparkML, or MLeap.
- Experience with cloud services for data pipelines, monitoring, scheduling, and storage, preferably AWS.
- Familiarity with distributed computing platforms such as Hadoop or Spark.
Tech Stack
Categories
Data EngineeringML Engineering
About Kredivo Group
Kredivo Group builds digital consumer finance products in Southeast Asia, including instant credit for e-commerce and offline purchases, personal loans, and neobank services. It operates the brands Kredivo, KrediFazz, Krom Bank in Indonesia, GajiGesa, and Timo in Vietnam. The company is privately held and backed by investors such as Mizuho Bank, Amazon, Square Peg Capital, Asia Partners, Cathay Innovation, Jungle Ventures, and Mirae Asset.