Role overview
At Kaizen, we strive to harness the power of modern AI algorithms to continuously improve our product and business. Kaizen's AI department consists of product, platform and research teams and lies at the core of that mission. We develop AI products for various applications, ranging from detection of fraudulent activity to personalized gaming recommendations and from AI-powered co-pilots to CRM optimizations.
We structure our teams to be self-driven, autonomous, and cross-functional. Within these teams, you will have the opportunity to work with Data Scientists, Machine Learning Engineers, Data Engineers, Data Analysts, Product Owners and Agile Delivery Leads.
As a Senior Machine Learning Software Engineer, you will focus on delivering robust and scalable Machine Learning pipelines and you will support the operationalization of Machine Learning models.
What you'll work on
- Extensive experience in software development using Python in large scale, high-performance production environment;
- Significant hands-on experience in designing ML software systems;
- Significant experience with cloud environments like Microsoft Azure or AWS;
- Solid understanding of:
- The ML project lifecycle;
- MLOps concepts and tools such as MLflow or Kubeflow;
- ML algorithms and models.
Hands-on experience with Spark and PySpark;
Excellent problem solving and communication skills.
#Machine Learning (ML) #MLOps #AIOps #Software Engineering