Build data pipelines & large scale solutions based on ML models.
Work with big data technologies (e.g., AWS, spark, airflow, k8s), ML technologies (e.g., pytorch, keras, mlflow) and software engineering technologies (e.g., git, docker, jenkins).
Collaborate with highly experienced developers and researchers.
Constantly learn new stuff :)
Must have:
B.Sc. / M.Sc. in Computer Science.
0-2 years of experience in software development – preferably as an ML engineer, big data developer or backend developer.
At least 1 year of experience developing in python – including academic experience such as a final project, advanced courses, student positions etc.
Outstanding achievements in fundamental computer science courses – Data Structures, Algorithms, Systems Programming, Object Oriented Programming.
Fast learner.
Significant Advantages:
Experience working with a cloud technology stack (e.g., AWS, Azure).
Academic background or professional experience in big data development (e.g., databases, distributed systems).
Significant project in machine learning or big data development.
Academic background in Machine Learning or related topics.