Data Engineer (m/f/d)

REFERENCE NUMBER:

640578/1

MY DUTIES:

- Development and implementation of data pipelines for the preparation, provision and versioning of data for the training of machine learning models
- Consulting and development of machine learning and deep learning models, especially with regard to the productive operation of these models
- Design and implementation of microservices to provide model prediction via REST API and streaming system, including functions to monitor these models in productive operation
- Deploy the microservices and streaming system in the production cloud environment, taking into account high availability requirements
- Implementation of a MLOps process for continuous development of the models in production ope-ration

MY QUALIFICATIONS:

- Knowledge of Google Cloud Platform, Terraform, GitLab
- Knowledge of Kubernetes, Docker, Airflow, Kafka, MLFlow
- Knowledge of BigQuery, BigTable
- Knowledge of Python, Pyspark, SQL
- Knowledge of REST APIs

MY BENEFITS:

- Extension and following projects possible

ABOUT HAYS:

IT is and always has been our core business that laid the foundation for Hays' success. We are the biggest privately owned IT recruitment agency in Germany and offer the best jobs for every career level – whether you are interested in vacancies in agile SMEs or international DAX groups. Hays masters the entire IT job spectrum, from support to software architecture or digitalisation – thanks to our broad portfolio, we have something for everyone. In the last decades, we were able to support numerous IT experts with choosing the right path for a successful career, positioning ourselves as their lifelong partner. Our highly specialised consultants can cater to your every wish and expectation and will prepare you for interviews and contract negotiations. Give it a try and learn what the market has to offer – our services are free of charge, non-binding and discreet! We look forward to hearing from you.

MY CONTACT AT HAYS:

My contact person
Eva Franziska Müllenbach

Reference number
640578/1

Contact
E-Mail: [email protected]