👉 Senior MLOps Engineer

🟣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.