optimize, standardize and implement data science and machine learning solutions at scale and in cloud-based environments (Azure)
take part in the end-to-end lifecycle of data science projects through the use of DevOps, code, experiment and model management, CI/CD and other best practices
cooperate with engineering to improve the way of consuming data and deploying models in production
design and lead monitoring, troubleshooting, debugging and incident management for ML pipelines
requirements-expected :
at least 2 years of experience in MLOps or ML engineering / similar role, particularly in productionizing and scaling ML models
experience working with Azure cloud environment and Databricks - MUST HAVE
proficiency with Python and SQL (while building ML & data pipelines)
understanding of data science lifecycle and the way data scientists work to deliver value
fluent English – at least B2+/C1
offered :
A full-time contract with possibility to choose the form of employment (UoP/B2B)
Stable and long-term cooperation
Support of a dedicated manager and Career Managment team
A clearly defined career path and the possibility of development in four areas as: Project Manager, Business Manager, Technical Leader and a specialist in their field.
Participation in company conferences, trainings, workshops, integration meetings, etc.
Certification and training opportunities
Opportunity to relocate and work in different ALTEN Polska branches
