🟣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 (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/
🟣 Nice to have:
- Cloud (Azure, AWS, GCP) certification is a big plus,
- familiarity with Amazon SageMaker / Azure Machine Learning / VertexAI is nice to SageMaker / Azure Machine Learning / VertexAI is nice to have.
🟣 Recruitment Process:
CV review – HR call – Technical Interview (with live-coding elements) – Client Interview (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.