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. in Computer Science (Graduate level)
Experience developing in python – significant final project or student position.
Outstanding achievements in fundamental computer science courses – Data Structures, Algorithms, Systems Programming, Object Oriented Programming etc.
Advanced courses in big data development (e.g., databases, distributed systems) – MUST
Significant Advantages:
A significant final project in machine learning or big data development.
Experience with Spark or SQL.
Experience working with git.
Experience working with cloud environments (e.g., AWS, GCP, Azure).