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ML & Data Engineer for Edge & Hybrid Cloud for Digital Twin (f/m/div.)

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Bosch

Sep 24, 2024

Applications are closed

  • Job
    Full-time
    Mid Level
  • Data
    Software Engineering
  • Ludwigsburg

Requirements

  • Education: Master's degree in computer science, data science, or a related field.
  • Experience and Know-How: 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: Python, skills in relevant ML & data engineering tools / frameworks (e.g. MLflow, Kubeflow, Airflow, MongoDB, time-series databases). Experience with containerization technologies (Docker, Kubernetes, OpenShift) and cloud platforms (AWS/Azure) is preferred.
  • Communication & Collaboration: Excellent communication and collaboration skills, with an ability to work effectively in cross-functional teams.
  • Problem-solving: Strong analytical skills with a focus on delivering business value through efficient and reliable ML operations.
  • Languages: You are business fluent in English, other languages are welcome.

Responsibilities

  • Developing and implementing our digital twin solution for edge & hybrid cloud setups.
  • Implementing ML & data engineering pipelines using state-of-the-art frameworks / databases and deploying them in a container-based manner using Docker / Kubernetes.
  • Design and explore IoT and cloud solutions using Docker / Kubernetes for edge-based machine learning use cases.
  • Streamline data flow pipelines including data ingestion, storaging, deploying ML models, interfacing with cloud, connecting to backend / frontend; including the selection of ideal software technologies, databases and relevant frameworks (e.g. databases, orchestration, MLOps tools).
  • 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.

FAQs

What is the job title for this position?

The job title is ML & Data Engineer for Edge & Hybrid Cloud for Digital Twin (f/m/div.).

What type of experience is required for this position?

A 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 is required.

What educational qualifications are needed?

A Master's degree in computer science, data science, or a related field is required.

What technical skills are preferred for this position?

Preferred technical skills include proficiency in Python, experience with ML & data engineering tools/frameworks (e.g. MLflow, Kubeflow, Airflow, MongoDB, time-series databases), containerization technologies (Docker, Kubernetes, OpenShift), and cloud platforms (AWS/Azure).

Is experience with cloud-agnostic solutions required?

Yes, candidates should be able to develop cloud-agnostic software solutions that can be deployed on any hardware or cloud environment with minimal modifications.

Are collaboration skills important for this role?

Yes, excellent communication and collaboration skills are necessary to work effectively in cross-functional teams.

What is the contractual work location for this position?

The contractual work location is Ludwigsburg.

Is there flexibility in working arrangements?

Yes, great opportunities for mobile working as well as different part-time models are offered.

Is there a focus on diversity and inclusion at Bosch?

Yes, diversity and inclusion are firmly anchored in Bosch's corporate culture, and all applications are welcomed regardless of gender, age, disability, religion, ethnic origin, or sexual identity.

Where can I get more information about the Digital Twin project?

More information can be found on the Bosch Global Software Technologies website under the Digital Twin section.

Who can I contact for more information about this job?

You can contact Prahallad C R at +49 711 811 12926 or Patrick Schlachter at +49 152 55472610 for more information about the job.

What should I do if I need support during the application process?

You can reach out to Nelly Ehrmann in Human Resources for support during your application.

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Bosch

Engineering & Construction
Industry
10,001+
Employees
1886
Founded Year

Mission & Purpose

The Bosch Group is a leading global supplier of technology and services. It employs roughly 421,300 associates worldwide (as of December 31, 2022). The company generated sales of 88.2 billion euros in 2022. Its operations are divided into four business sectors: Mobility Solutions, Industrial Technology, Consumer Goods, and Energy and Building Technology. As a leading IoT provider, Bosch offers innovative solutions for smart homes, Industry 4.0, and connected mobility. Bosch is pursuing a vision of mobility that is sustainable, safe, and exciting. It uses its expertise in sensor technology, software, and services, as well as its own IoT cloud, to offer its customers connected, cross-domain solutions from a single source. The Bosch Group’s strategic objective is to facilitate connected living with products and solutions that either contain artificial intelligence (AI) or have been developed or manufactured with its help. Bosch improves quality of life worldwide with products and services that are innovative and spark enthusiasm. In short, Bosch creates technology that is “Invented for life.” The Bosch Group comprises Robert Bosch GmbH and its roughly 470 subsidiary and regional companies in over 60 countries. Including sales and service partners, Bosch’s global manufacturing, engineering, and sales network covers nearly every country in the world. With its more than 400 locations worldwide, the Bosch Group has been carbon neutral since the first quarter of 2020. The basis for the company’s future growth is its innovative strength. At 136 locations across the globe, Bosch employs some 85,500 associates in research and development, of which nearly 44,000 are software engineers.