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Senior MLOps Engineer
Xebia sp. z o.o.Wrocław, Lower Silesia, Poland30+ days ago
Job descriptioncollaborating 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. 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. 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 sharing the costs of sports activities private medical care sharing the costs of foreign language classes sharing the costs of professional training & courses life insurance remote work opportunities flexible working time integration events corporate library no dress code video games at work coffee / tea drinks parking space for employees leisure zone employee referral program
technologies-expected :
- MLOps
- Python
- CI / CD
responsibilities :
requirements-expected :
offered :
benefits :
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Senior Mlops Engineer • Wrocław, Lower Silesia, Poland