Machine Learning Operations Engineer (MLOps Engineer)

Poznan , Greater Poland Voivodeship, Poland

Type: n/a

Category: Construction & Trades

Requirements: English
Company: HEADFOUND GmbH
Region: Poznan , Greater Poland Voivodeship

technologies-expected :

• Microsoft Azure
• Docker
• Kubernetes
• MLflow
• SageMaker
• Kubeflow
• Prometheus
• Grafana
• Python
• Terraform
• CloudFormation

responsibilities :

• Design, build, and maintain the infrastructure for deploying and scaling machine learning models.
• Develop automated CI/CD pipelines for ML model training, testing, and deployment.
• Monitor model performance, stability, and system health in production environments.
• Collaborate with data scientists and engineers to streamline the transition from model development to production.
• Implement tools for model versioning, governance, and observability.
• Ensure data security, compliance, and reproducibility of models.
• Help shape our overall MLOps strategy and architecture for sustainability and scalability.

requirements-expected :

• 5+ years of experience in MLOps, DevOps, or similar roles.
• Hands-on experience with cloud platforms, especially Microsoft Azure (Azure Functions, Azure ML, Azure Container Apps).
• Deep experience with containerization and orchestration (Docker, Kubernetes).
• Proficiency with Databricks for developing and operationalizing machine learning workflows.
• Familiarity with ML platforms and tools like MLflow, SageMaker, Kubeflow, or similar.
• Experience with data pipelines, workflow orchestration (e.g., Airflow), and monitoring tools (e.g., Prometheus, Grafana).
• Solid understanding of the full ML lifecycle from data ingestion to model deployment and monitoring.
• Programming experience in Python and infrastructure-as-code tools (e.g., Terraform, CloudFormation).
• Strong communication skills and a proactive mindset for working in cross-functional teams.

offered :

• A flexible, independent work environment with the freedom to shape your own workflows.
• Exciting projects in recruiting technology, working with innovative external teams.
• Opportunities for continuous learning and professional growth.
• Competitive compensation based on expertise and project scope.
• The position is available in both full-time and part-time, offering flexibility to match your preferences and availability.

benefits :

• private medical care
• remote work opportunities
• Multisport card

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