Machine Learning and Data Engineer for Edge and Hybrid Cloud

Vor 6 Tagen

Ludwigsburg, Baden-Württemberg, Deutschland Bosch Group Vollzeit
Job Title: ML & Data Engineer for Edge & Hybrid Cloud

We are seeking a highly skilled Machine Learning and Data Engineer to join our team at Bosch Digital Twin Industries. As an ML & Data Engineer, you will be responsible for developing and implementing our digital twin solution for edge & hybrid cloud setups.

Key Responsibilities:
  • Design and implement ML & data engineering pipelines using state-of-the-art frameworks and databases.
  • Deploy container-based solutions using Docker and Kubernetes for edge-based machine learning use cases.
  • Streamline data flow pipelines, including data ingestion, storage, deploying ML models, and interfacing with cloud and backend/frontend systems.
  • Develop cloud-agnostic software solutions that can be deployed on any hardware or cloud environment with minimal modifications.
  • Develop and implement a MLOps concept tailored for digital twin solutions.
Requirements:
  • Master's degree in computer science, data science, or a related field.
  • Minimum of 3 years of experience in machine learning algorithms and frameworks, with a focus on scalable infrastructure and automation for deploying and managing ML models in production environments.
  • Technical proficiency in Python, ML & data engineering tools, and frameworks (e.g. MLflow, Kubeflow, Airflow, MongoDB, time-series databases).
  • Experience with containerization technologies (Docker, Kubernetes, OpenShift) and cloud platforms (AWS/Azure) is preferred.
  • Excellent communication and collaboration skills, with an ability to work effectively in cross-functional teams.
  • Strong analytical skills with a focus on delivering business value through efficient and reliable ML operations.
  • Business fluent in English, other languages are welcome.
About Us:

Bosch Digital Twin Industries is a corporate start-up that is going global and faces huge business potential which now needs to be realized. We are a multi-cultural, innovative, and ambitious environment that values diversity and inclusion.

We offer great opportunities for mobile working as well as different part-time models. Feel free to contact us to learn more about our company culture and values.

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