Machine Learning Engineer Intern

Job description:
Prepare training data, conduct feature engineering, both from internal and external sources
Apply Machine learning in Production: support to design and implement scalable and user-friendly Machine Learning infrastructure, model tuning, and monitoring
Design and build fast, reliable services for Machine Learning model: training, serving, and scaling Machine Learning infrastructure
Build Machine Learning pipeline for various classification and decision problems using a variety of algorithms.
Requirements:
Undergraduate or hold Bachelor's degree in Information Technology or comparable qualification
Familiar with Object-Oriented Programming, Modular Programming
Familiar with conventional Machine Learning and Deep Learning packages: Pandas, Numpy, Scikit-learn, Pytorch or Tensorflow
Experience working with Computer Vision tasks and related frameworks / open sources such as OpenCV, YOLOv4 or v5
Experience with serving and storage platforms: such as Docker
Experience with cloud services: such as AWS / Azure / GCP
Experience with MLOps frameworks such as Airflow / MLFlow / Kedro / ZenML
Good to have:
Experience with building and maintaining high availability, low latency systems, especially with respect to reliability, testing, and observability.
Familiar with the full life cycle of software development