Machine Learning Engineer

At Kredivo, we are building the future of financial services that are fast, affordable, and accessible, with a focus on a seamless user experience.
As we grow, we are seeking a Machine Learning Engineer to collaborate closely with the Data Science team.
Your role will involve feeding data across functions such as credit scoring, fraud detection, and risk management into financial models developed by data scientists.
Additionally, you will ensure that data science code is maintainable, scalable, and debuggable.
Job Responsibilities Develop and implement ML pipeline infrastructure, including ETL processes for raw data into model features, and build platforms to automate ML training, testing, and maintenance.
Partner with Data Scientists to transform prototypes of predictive models into high-performance, well-integrated systems.
Qualifications 2-3 years of relevant experience in Data or Software Engineering, with at least 1-2 years of hands-on experience deploying machine learning models and feature pipelines.
Strong knowledge of data structures, data modeling, and software architecture related to Machine Learning.
Proficiency in writing robust, production-ready code in Python and GoLang.
Experience with RDBMS (MySQL, PostgreSQL) and NoSQL platforms (e.g., S3).
Familiarity with machine learning libraries such as TensorFlow/Keras, PyTorch, SparkML, or MLeap.
Interest in building scalable and reliable ML/AI services.
Experience working with cloud platforms like AWS to build data pipelines, monitoring, scheduling, and storage.
Knowledge of distributed computing platforms such as Hadoop or Spark.
Additional Information Seniority Level: Entry level Employment Type: Full-time Job Function: Engineering and Information Technology Thank you for your interest in Kredivo.
If you are a qualified candidate, our Talent Acquisition team will contact you.
We appreciate your understanding that due to the volume of applications, we may not be able to respond to everyone.
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