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Qualification:
- 1-2 years of relevant experience in Data or Software Engineering and hands-on experience in deploying machine learning models and feature pipelines
- Having good knowledge of data structures, data modeling and software architecture related to Machine Learning
- Ability to write robust production-ready code in Python & GoLang
- High degree of proficiency with RDBMS (i.e. MySQL, PostgreSQL) and No-SQL platforms (i.e. S3)
- Proficiency in machine learning libraries such as: Tensorflow/Keras, Pytorch, SparkML or MLeap
- Strong interest in building scalable and reliable Machine Learning Engineering/AI related services
- Past experience working with cloud services platform to build data pipelines, monitoring, scheduler and storage, preferably on cloud platform.
- Familiarity using a distributed computing platform, such as Hadoop or Spark.
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