- Azure
- SQL
- Python
- Git
about-project :
- 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 Dev Ops, 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 Dev Ops 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
- Opportunity to participate in Sustainability projects and join a community focused on creating sustainable solutions
- A work atmosphere based on respect, professionalism and kindness
benefits :
- sharing the costs of sports activities
- private medical care
- life insurance
- remote work opportunities
- flexible working time
- retirement pension plan
- extra social benefits
- one shorter working day
