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. **In this role you will:** + 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 **You are the right candidate if you bring along:** + 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 **You will draw even more of our attention if you have:** + Experience in productionizing ML tools involving a user interface, e.g. Dash, Shiny R, Streamlit + Experience in Azure cloud resource setup for purposes of data solutions + Great communication skills to guide audiences of a broad technical knowledge range through complex ML Ops topics + Practice in coaching / mentoring younger team members in your expertise areas **In return we offer:** + 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 + Opportunity to participate in Sustainability projects and join a community focused on creating sustainable solutions + A work atmosphere based on respect, professionalism and kindness