Position: Machine Learning Engineer
Company: Data Science UA
Category: Data Science
Experience required: 1y
English level: upper
Published: 2020-11-01T00:00:00+02:00

ABOUT THE PROJECT

We are looking for a Machine Learning Engineer for our partner company.
Based on different types of data, candidates can create machine learning/deep learning models. Ability to work in short iteration cycles (up to 2 weeks) from initial research to PoC prototype. Ability to work simultaneously on multiple tasks. Ability to work in a solo or a small team and be responsible for the final results. Lots of educational and self-educational activities.

RESPONSIBILITIES: 

• Collecting, transforming, and preprocessing raw data to prepare it for modeling.
• Building machine learning and deep learning models.
• Designing, developing, training, and testing models and algorithms.
• Providing comparative research on different algorithms and models.
• Implementing the model in a form that can be easily used by engineers, documenting its interfaces.
• Delivering the model in a form that can be easily deployable and maintained.

REQUIRED SKILLS

Machine learning engineer develops deep learning / machine learning models, improves existing solutions, and provides results in a form that can be easily deployed, used and maintained.
Machine learning engineer works with a full cycle of ML project development, including searching and preparing datasets, creating deep learning models, testing and comparing, and preparing packages for deploying.

Specialized knowledge:
• Understanding theoretical concepts of machine learning and neural networks.
• Understanding theoretical concepts of deep learning architectures.
• Understanding how these theoretical concepts could be applied to real-world problems.
• Knowledge and hands-on experience with Python or other relevant programming languages.
• Knowledge and hands-on experience with ML/DL frameworks (PyTorch, TensorFlow etc.).
• Knowledge and hands-on experience with tools for data preprocessing and scraping.

Skills and abilities:
• Strong English verbal and written communication skills.
• Ability to work independently with limited supervision.

Experience:
• Track record in deep learning, data science, machine learning.
• Relevant levels of theoretical knowledge in data science and machine learning.