Machine Learning Engineer

We are currently looking for a MLOps Engineer to join the data science department, which takes care of the development of statistical and machine learning models.

About the Role

We are looking for an ML Engineer with experience in building automatized Data/ML Pipelines with Vertex AI, CI/CD, GitHub actions and a like. The management of the cloud resources on GCP is a part of the role including setting up projects, user rights/permissions and security issues.

Responsibilities

• You will develop and operate suitable data architectures as well as automated processes for data management and supply via the execution of Python scripts in GCP.
• Collaborating with the centralized team to establish a comprehensive MLOps roadmap and standardized templates for future forecasting initiatives.
• You manage the technological infrastructure of the Experimentation Team in the Google Cloud (projects, instances, rights) as well as the deployment process and ensure that the team's cloud infrastructure meets the current security requirements.
• Contribute formulating and executing on the technical vision and roadmap for the data platform
• In this context, you develop new and optimize existing processes by using innovative technologies.

Required Skills

• Google Cloud Platform (CloudRun, BigQuery, Pub/Sub, Dataform, etc.)
• VertexAI
• Machine Learning/ML Ops experience
• Airflow
• Terraform / Ansible
• GitHub Actions
• Python and SQL

Preferred Skills

• As a team player, you want to work in a cross-functional, agile team and contribute your strong affinity for data and thirst for research.
• Ability to communicate complex issues in an understandable way. And: You want to become part of an open, tolerant and colorful corporate culture and make your own contribution to it.