As a Machine Learning Engineer on our Oyper ML team, you will work on Oyper’s machine learning platform and actively contribute to the development of our state-of-the-art preprocessing and modeling capabilities.
We are responsible for making sure our models and modeling automation are the best in the world. We are looking for talented people with excellent engineering skills and deep knowledge of machine learning who can analyze problems, design unprecedented solutions, and implement them for real-world use on top of our platform.
Oyper is based around delivering best-in-class AI solutions, and this position provides the opportunity to build the key machine learning components of our system.
Automate machine learning processes
Design and build machine learning models for accuracy and scalability
Integrate machine learning algorithms with other applications and services
Good communication skills;
Stress resistance, independence, multitasking, proactivity.
Recommended background: 5+ years of combined Python engineering and machine learning experience
Experience writing maintainable, testable, production-grade Python code
Understanding of different machine learning algorithms
Good command of scientific Python toolkit (numpy, scipy, pandas, scikit-learn)
Understanding of time, RAM, and I/O scalability aspects of data science applications (e.g. CPU and GPU acceleration, parallel execution, operations on sparse arrays, model serialization and caching)
Software design and peer code review skills
Experience with automated testing and test-driven development in Python
Comfortable with Linux-based operating systems
Experience with large-scale machine learning
Experience with deep learning libraries and frameworks (TensorFlow, Keras, PyTorch etc.)
Previous experience of deploying and maintaining machine learning models in production