Job Title: Data Science Infrastructure Engineer
We are seeking an experienced Data Science Infrastructure Engineer to join our team. In this role, you will be responsible for maintaining and improving the Continuous Integration/Continuous Deployment (CI/CD) framework.
Key Responsibilities:
* Maintain and improve the CI/CD framework to ensure smooth deployment of data science models.
* Manage automation pipelines in Terraform to automate infrastructure provisioning and configuration.
* Deploy code and models for various data science teams in Databricks and Kubernetes environments.
* Provide support and advice on MLOps best practices to data scientists.
Required Skills and Qualifications:
* At least 3 years of experience in hands-on MLOps positions.
* Expertise in Azure Databricks for ML workflows.
* Proficiency in Azure DevOps and Azure Pipelines for CI/CD management.
* Strong knowledge of Docker, Kubernetes, and Terraform for infrastructure automation and orchestration.
* Extensive experience in automating ML workflows and model deployment.
* Strong communication and collaboration abilities.
* Ability to work with and in distributed teams.
* Fluency in English, spoken and written (mandatory).
Benefits:
* Health Insurance.
* Feedback & Coffee system with regular feedback and Career Progression Model.
* Remote working model.
* Training Academy with technical and behavioral training sessions.
* Events and Teambuildings.