Machine Learning and Data Engineer for Edge and Hybrid Cloud

Vor 4 Tagen

Ludwigsburg, Baden-Württemberg, Deutschland Bosch 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 a key member of our team, you will be responsible for developing and implementing our digital twin solution for edge and hybrid cloud setups.

Key Responsibilities:
  • Design and implement machine learning and 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 machine learning 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 machine learning models in production environments.
  • Technical proficiency in Python, machine learning and data engineering tools and frameworks, containerization technologies, and cloud platforms.
  • 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 machine learning operations.
What We Offer:
  • A dynamic and innovative work environment with a focus on digital transformation.
  • Opportunities for professional growth and development in a rapidly evolving field.
  • A competitive salary and benefits package.
  • The chance to work on cutting-edge projects and contribute to the development of our digital twin solution.

We are an equal opportunities employer and welcome applications from diverse candidates. If you are passionate about machine learning and data engineering, and are looking for a challenging and rewarding role, please submit your application.

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