Transforming the way thousands of global organizations do business by developing the most innovative technologies and processes in Big Data, the Internet of Things (IoT), Data Science, and Experience Design.
We are one of the largest teams in Eastern Europe that stood at the origins of Data Science, so you will get tons of experience while working with the best talents in the field.
In a Data Science Center of Excellence, you will have a chance to contribute to a wide range of projects in different areas and technologies.
We are looking for a person who is inspired by data, analytics, and AI as much as we are, and who wants to grow with us!
responsibilities :
Design and implement ML end-to-end solutions, create data pipelines and architectures, set up the infrastructure, and optimize existing models
Communicate use cases, requirements, and expectations with stakeholders
Guide Engineering and Data Science teams on ML systems production lifecycle
Cooperate with Data Science teams on model operationalization strategies
Deliver and operate ML systems cooperating with the product teams
Implement end-to-end production pipelines for ML solutions
Support and enhance ML software infrastructure: CI/CD, data stores, cloud services, network configuration, security, and system monitoring
Set up scalable monitoring systems for data pipelines and ML models
Work as a consultant with the latest modern tools on different projects with a flexible schedule
requirements-expected :
A holder of a masters degree in Computer Science or a related field
Having 3+ years of relevant experience
Confident in cloud providers, especially in Azure
Hands-on with Python and traditional Python data science and machine learning (DS/ML) stack
An expert in GenAI solutions design patterns, requirements gathering and estimation
Skilled with AI/ML and LLM tools in any major cloud platform
Versed in setting up continuous integration, continuous delivery, and continuous testing (CI/CD/CT) pipelines for ML
Competent with containers and container orchestration platforms (Kubernetes)
Experienced with designing and building feature stores and VectorDB
Familiar with LLM Agent orchestration like crew.ai
Knowledgeable of Neo4j (as an advantage)
Demonstrating Upper-Intermediate English level, or higher to cover daily project needs
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of foreign language classes
sharing the costs of professional training & courses
