Position: Machine Learning engineer / MLOps
Category: Data Science
English level: pre
Years of experience: 5

Successful finished Master Master's degree (Computer Science with specialization in Data Science) in Ukrainian Catholic University
Passed a lot of Google Cloud Data Courses
Passing Google Cloud Certified Professional Data Engineer (in the process)
Preparing for Certified Kubernetes Application Developer (CKAD) (in the process)
- NLP tasks: generating sports news using RNN and BERT, categorize text, NER, topic modeling, classify fake/not fake news
- Computer vision tasks: object detections,  Lucas-Kanade tracking, simple Augmented Reality
- MLOps tasks: data pipelines using AirFlow, Dataflow, Luigi, ML pipelines using Kubeflow, MLFlow, serving models using Kubeflow, Seldon. Work with Kubernetes
- Python: Flask/Celery/Selenium/Conda
Have a big experience in web development: python/PHP and OPs: developing and deploying microservices and modular projects (with API, message and events integration patterns)
Have experience in team leading (worked 2 years as Team Lead of 4 developers)
Please, no data engineering and python developer offers.