Machine Learning Engineer

• Experience as a Machine Learning Engineer or similar role;
• Understanding of data structures, data modeling;
• Knowledge of math (statistics and algorithms);
• Knowledge of ML frameworks (TensorFLow (at least Keras) / PyTorch);
• Knowledge of data-processing engines like ApacheSpark;
• Most common Python libraries: NumPy, Pandas, Jupyter Notebook, pip/pipx/Anaconda, Numba, etc.;
• MLOps: deployment and monitoring models on a production systems.

• Estimate tasks provided by Project Manager (PM) or Technology Lead (TL);
• Complete the tasks assigned by PM or TL within the estimated time;
• Participate in the Scrum process;
• Contribute to project development;
• Conduct technical research;
• Maintain accurate and up-to-date technical documentation for the project;
• Prepare reports;
• Communicate with customers;
• Contribute to ongoing project improvements.

A friendly team of professionals:

• Strong technical specialists who are ready to help solve problems.

Professional development:

• Financial and 1-to-1 meetings to discuss development plans;
• Individual development plan;
• Paid conferences and certifications;
• Lectures and other events where senior specialists share their knowledge with junior and middle specialists;
• Knowledge bases with useful information for development.

Vertical development:

• Opportunity to grow and become a coordinator and further a Technology Lead.

Work-life advantages:

• Flexible working hours;
• 24 calendar days of vacation per year and paid sick leaves;
• Financial support.