MLOps Engineer

🟣 You will be:

• Managing Kubernetes cluster serving ML models, preparing deployments and monitoring,
• Working with data ingestion and transformation,
• Preparing data schemas and feature stores,
• Implementing data platform components, responsible for data ingestion and data pipelines. 

🟣 Your profile:

• 3+ years of professional experience as Data Engineer or DevOps Engineer working with data scientists,
• able to think analytically and critically, and good at solving problems creatively,
• understands projects from the business perspective on an advanced level,
• experience in Kubernetes – working with deployment charts, operators, nodes, autoscaling etc.
• experience in working with data-driven and event-driven applications, knowledge about Pub/Sub patterns and data pipeline orchestration,
• experience in data engineering, including data warehouses, data lakes and building data models,
• experience in cloud (preferably GCP, with BigQuery),
• fluent English communication skills (B2+).

🟣 Work from European Union region and work permit are required.

🟣 Recruitment Process: CV review – HR Call – Interview – Client Interview – Decision

🎁 Benefits 🎁

✍ Development:

• development budgets of up to 6,800 PLN,
• we fund certifications e.g.: AWS, Azure,
• access to Udemy, Safari Books Online and more,
• events and technology conferences,
• technology Guilds,
• internal training,
• Xebia Library,
• Xebia Upskill.

🩺 We take care of your health:

• private medical healthcare,
• multiSport card - we subsidise a MultiSport card,
• mental Health Support.

🤸‍♂️ We are flexible:

• flexible working hours,
• B2B or permanent contract,
• contract for an indefinite period.