A self-starter, with the interest and passion to contribute in a fast-paced startup environment.
B.S., degree or equivalent in Computer Science or similar field of study.
5 years of experience building ML products
Professional experience as a machine learning engineer or a strong backend engineer with a passion on machine learning
Strong proficiency in software development and distributed systems
Fluent in building APIs in Python, particularly in FastAPI or Flask.
Understanding and use of Pytest, Docker, and sqlalchemy.
Experienced with ML model management, deployment, and/or versioning.
Experienced with database and data warehouse.
Understanding and use of common Python data science libraries such as Pandas, numpy, and scikit-learn.
Preferences:
Experienced with common Python deep learning libraries such as PyTorch and TensorFlow.
Experienced with cloud platforms (AWS, GCP, Azure).
Experienced with MLops platforms such as Kubeflow or MLFlow.