Python Developer (ML Engineer)

Responsibilities

• Maintain and extend data preprocessing pipelines.
• Maintain and extend feature extraction pipelines.
• Maintain and extend Python packages for model training and serving based on customer requirements.
• Work with stakeholders to clarify requirements and identify modelling opportunities.
• Implementation of new approaches and algorithms based on the newest scientific publications.

Requirements

• Python and its data stack (Pandas, Numpy, Scikit-learn, etc.).
• PyTorch.
• Jupyter Notebooks.
• Experience with deep learning.
• General understanding of neural networks and their applications.
• Understanding of parallel processing in Python (thread-based, process-based, GIL), serialization, memory mapping.
• Experience with task trackers (preferably JIRA) and version control tools (preferably Git).
• Familiarity with Linux command line.
• Root cause analysis skills to answer specific business questions.
• Good communication and analytical skills — to clarify requirements with the customer in English.

Nice to have:

• Experience with the Message Passing Neural Networks will be a huge plus.
• Experience with DVC for data versioning would be an advantage.
• Experience with Amazon's EC2 and S3.

Salary and benefits

• Competitive salary (discussable, depending on experience).
• Training programs, professional development.
• Benefits: voluntary health insurance (incl. dental insurance)‚ corporate events and sports activities.
• Flexible schedule.
• Comfortable office in the downtown near metro station / or remote work.