Senior Data Science

The vacancy has been archived and is no longer active

Main requirements

Short description

The task: build an ML platform from scratch, build MLOps processes, and implement the first machine learning cases, from data collection to integrating models into production.

Responsibilities

To design and implement an ML platform for training, testing, and deployment of models.
Configure the data pipeline for data collection, processing, and storage.
Implement the first ranking models based on Elastic LTR or similar solutions.
Organize the processes of training, validation, monitoring, and retraining of models.
Choose the tools and technologies to build a sustainable ML infrastructure.
Integrate models into production together with the backend and the product team.

Requirements

Proficiency in Python and ML libraries (scikit-learn, pandas, numpy, PyTorch/TensorFlow -optional).
The experience of building ML pipelines using Airflow / Prefect / Luigi.
Practical skills of working with Docker and Kubernetes.
Experience or understanding of the principles of Learning to Rank (Elastic LTR).
Deep understanding of MLOps approaches: CI/CD, data and model versioning, monitoring.
The experience of designing infrastructure from scratch is a big plus.

Conditions

Convenient flexible work schedule.
Employment under the Labor Code of the Republic of Kazakhstan.
VMI for employees and their loved ones.
Financial assistance in various life situations (birth of a child, wedding, loss of a loved one, etc.).
Transparent grading system.
Free corporate training.
Competitions in cyber and sports disciplines.

Contact information