🟣You will be: 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.  🟣 Your profile: 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 (Azure/ GCP),  experience with tools such as VertexAI, 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/🟣 Recruitment Process:CV review – HR call – Technical Interview (with live-coding) – Client Interview (with live-coding) – Hiring Manager call – Decision   🎁 Benefits 🎁✍ Development: development budgets of up to 6,800 PLN, we fund certifications e.g.: AWS, Azure, access to Udemy, O'Reilly (formerly Safari Books Online) and more, events and technology conferences, technology Guilds, internal training, Xebia Upskill. 🩺 We take care of your health: private medical healthcare, multiSport card - we subsidise a MultiSport card, mental Health Support. 🤸‍♂️ We are flexible: B2B or employment contract, contract for an indefinite period.