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Posted 2 Days Ago
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Berlin, DEU
In-Office
Entry level
Artificial Intelligence • Internet of Things • Software • Automation
The Role
Design and deploy AI and machine learning models, integrate LLMs and generative AI into existing architectures, and analyze large datasets to optimize model performance. Collaborate with product management, data science, and software engineering teams. The role requires strong hands-on machine learning, deep learning, or NLP experience, Python and modern ML framework proficiency, quantitative education, and business fluency in English and German.
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Company Description

DO NOT APPLY TEST JOB!!!

 

Job Description

Your Responsibilities:

  • Development & Implementation: Design and deploy AI and Machine Learning models for real-world business applications.

  • LLM & GenAI Integration: Integrate Large Language Models (LLMs) and generative AI technologies into existing system architectures.

  • Data Analysis & Optimization: Process, analyze, and optimize large datasets to enhance model performance.

  • Collaboration: Work closely with product management, data science, and software engineering teams.

Your Profile:

  • Education: Degree in Computer Science, Mathematics, Physics, or a comparable quantitative field.

  • Experience: Strong hands-on experience in Machine Learning, Deep Learning, or Natural Language Processing (NLP).

  • Tech Stack: Proficiency in Python and relevant frameworks (e.g., PyTorch, TensorFlow, Hugging Face).

  • Mindset: Strong analytical skills, enthusiasm for emerging tech, and a self-driven, target-oriented working style.

  • Languages: Business fluency in English and German (written and spoken).

Qualifications

 

  • Exciting Projects: Work at the forefront of technological innovation.

  • Flexibility: Flexible working hours and hybrid / remote working options.

  • Professional Growth: Dedicated budgets for conferences, certifications, and continuous learning.

  • Modern Culture: Flat hierarchies, fast decision-making, and a collaborative team environment.

  • Benefits: Pension options, state-of-the-art hardware of your choice, and regular team events.

Skills Required

  • Degree in Computer Science, Mathematics, Physics, or a comparable quantitative field
  • Strong hands-on experience in Machine Learning, Deep Learning, or Natural Language Processing
  • Proficiency in Python
  • Proficiency with relevant machine learning frameworks such as PyTorch, TensorFlow, or Hugging Face
  • Business fluency in English and German, written and spoken
  • Strong analytical skills
  • Self-driven, target-oriented working style

Bosch Group Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Bosch Group and has not been reviewed or approved by Bosch Group.

  • Retirement Support — 401(k) matching and a company-funded pension are emphasized, complemented by performance-based bonuses. These retirement elements are portrayed as generous and a standout component of total rewards.
  • Healthcare Strength — Comprehensive medical, dental, vision, life insurance, and wellness initiatives such as the befit program and employee assistance support are highlighted as robust. Preventative care and mental health resources, with global consistency adapted by country, strengthen perceived healthcare value.
  • Leave & Time Off Breadth — Vacation time is described as well above legal minimums, with paid time off reaching up to five weeks in some cases. Paid holidays and sick leave further expand overall time-away options.

Bosch Group Insights

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The Company
HQ: Farmington Hills, MI
166,834 Employees
Year Founded: 1886

What We Do

The Bosch Group is a leading global supplier of technology and services. It employs roughly 402,600 associates worldwide (as of December 31, 2021). The company generated sales of 78.7 billion euros in 2021. 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 440 subsidiary and regional companies in some 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 128 locations across the globe, Bosch employs some 76,100 associates in research and development, of which more than 38,000 are software engineers. Instagram: https://www.instagram.com/boschglobal/ Facebook: https://www.facebook.com/BoschGlobal Twitter: https://www.twitter.com/BoschGlobal Glassdoor: https://bit.ly/3raTZnH Imprint: www.bosch.com/corporate-information Privacy statement: www.bosch.com/data-protection-notice

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