collaborating with Platform Engineers to set the infrastructure required to run MLOps processes efficiently,
implementing ML workflows / automating CI/CD pipelines,
automating model deployment and implementing model monitoring,
collaborating with Platform Engineers to implement backup and disaster recovery processes for ML workflows, especially models and experiments,
collaborating with stakeholders to understand the key challenges and inefficiencies of Machine Learning project lifecycles within the company,
keeping on top of the latest trends and advancements in data engineering and machine learning.
requirements-expected :
2+ years of experience developing and deploying machine learning systems into production,
5+ years of experience as a MLOps engineer or data engineer or software developer,
hands-on experience with cloud environments (AWS / Azure / GCP),
experience with tools such as Spark, PyTorch, TensorFlow and MLFlow,
knowledge of DevOps practices and tools, including Terraform,
experience with Docker and Kubernetes,
understanding of continuous integration and continuous deployment (CI/CD) practices, as well as experience with related tools like GitHub Actions or GitLab CI,
excellent verbal and written communication skills in English.
Work from the European Union region and a work permit are required.
Candidates must have an active VAT status in the EU VIES registry: https://ec.europa.eu/taxation_customs/vies.
offered :
Development budgets of up to 6,800 PLN
We fund certifications e.g.: AWS, Azure, ISTQB, PSM
Access to Udemy and Safari Books Online
Events and technology conferences
Technology Guilds
Internal training
Xebia Library
Xebia Upskill
Private medical healthcare
MultiSport card - we subsidise a MultiSport card
Mental Health Support
Flexible working hours
B2B or permanent contract
Contract for an indefinite period
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of foreign language classes
sharing the costs of professional training & courses
