As a key member of the Data Science Hub Europe you will be part of a team dedicated to delivering efficient and high-quality data solutions. You will collaborate with data scientists, data analysts and engineers to build, scale and operate our machine learning & analytics platform. Your skill, competence and creativity will directly support and impact critical business decisions in areas of supply chain and marketing.
responsibilities :
Optimize, standardize and implement data science and machine learning solutions at scale and in cloud-based environments (Azure)
Participate in the end-to-end lifecycle of data science projects through the use of DevOps, code, experiment and model management, CI/CD and further industry best practices
Write well-designed, testable, efficient code
Work closely with engineering to continuously improve the way we consume data and deploy models in production
Design and lead on monitoring, troubleshooting, debugging and incident management for our ML pipelines
Be a trusted advisor and evangelist to the team and stakeholders on various aspects of ML Ops, from scaling and throughput, to infrastructure and deployment strategies
requirements-expected :
2+ years of professional experience in ML Ops or ML engineering, particularly in productionizing and scaling ML models
Broad familiarity with Azure cloud environment and Databricks, including its setup and maintenance as an ML platform
Advanced proficiency with Python and SQL in version control systems (git) plus their use in building ML & data pipelines
Proven experience with software development best practices including testing, continuous integration, and DevOps tools
Good understanding of data science lifecycle and the way data scientists work to deliver value
Familiarity with agile software development lifecycle (SCRUM, Kanban, etc.)
Attention to clarity of code, ease of development, and correctness of implementations
Business-ready command of English, written and spoken
offered :
Exciting work in a multi-cultural team of bright minds – data lovers and practitioners
Flexible remote work options, or – if your prefer – access to a modern office in Warsaw’s Mokotów, walking distance from Metro Wilanowska
Internal training programs and access to external knowledge resources aimed at expanding your skills and competence
Support in building your ML / data ops skills and portfolio through participation and presenting at conferences and events
Opportunities to develop further in our Data Science Hub as well as in the international organization
