At a Glance
- Tasks: Join our AI training initiative and develop skills in data engineering and data science.
- Company: Bosch is a global leader in technology and services, committed to innovation and sustainability.
- Benefits: Enjoy 30% of your work time dedicated to training, with costs covered by the department.
- Why this job: Be part of a cutting-edge programme that shapes the future of engineering with AI.
- Qualifications: Open to all levels; programming experience is a plus but not mandatory.
- Other info: Engage in hands-on projects while learning from industry experts.
The predicted salary is between 36000 - 60000 £ per year.
Artificial intelligence training initiative
Máté is developing components for driver assistance systems in Hungary, Michael is researching the noise behavior of steering systems in the U.S. Both are taking part in the Bosch Center for Artificial Intelligence (BCAI) training initiative — and are thus making themselves fit to work with artificial intelligence.
BCAI\’s training initiative prepares employees to work with artificial intelligence (AI). One of BCAI\’s many training offerings is the 18-month expert program, in which employees develop into experts in data engineering and data science.
“In a few years, software competence will be standard for every engineer”, says Máté. As part of the expert program, the group leader is training to become a data engineer. A data engineer\’s job is to organize, cleanse and make data available to others for use in training an artificial intelligence, for example. “As a leader, I feel a responsibility to educate myself in the field and be a role model. I didn\’t know anything about professional software development”, he says. “That\’s why I was so interested in the program. It\’s like I\’m learning a new language.”
Máté and his team in Budapest are responsible for the development of components in driver assistance systems. During tests, they are exposed to vibrations or extreme temperatures, for example. In the future, the test reports should be generated automatically. He is bringing this project into the advanced training program to become a data engineer. The idea: “The data pipeline begins with the collection, conversion and structured storage of raw data. By means of AI, relevant data is automatically printed in the report, which only needs to be reviewed by a human”, he says. This can save time and money and help improve quality, he adds.
Martin Thomas, Training Manager (BCAI)
Over a period of one and a half years, employees undergo further training in a fixed group as part of the expert programs. In addition to theory, they contribute a practical issue from their everyday work. Anyone selected for the program can spend 30 percent of their working time on it. The department covers the costs.
By 2025 all Bosch products should either contain AI or have been developed or manufactured with its help. “Accordingly, the number of associates who deal with the topic must also increase significantly”, says Martin, who is responsible for training. “We have offers for beginners and experts”, he explains. These include online trainings as well as training courses for managers. To get started, there\’s the ‘BCAI Learning Platform’, where participants can complete virtual courses on their own. These include an introduction to statistics, neural networks and time series analysis.
The expert programs are particularly intensive. Michael has taken part in these. “I really like the fact that I can contribute my expertise here”, he says. The 41-year-old researches in Plymouth when and where noises occur during steering and how they can be prevented. He introduces this question to his training as a Data Scientist. Simplified, a Data Scientist draws knowledge from large amounts of data.
“The data we collect in our measurements must be analyzed using modern methods”, explains the engineer, who studied mechanical engineering and mechatronics. Artificial intelligence can be used to predict how the steering will behave at the customer\’s site and on the road, he says. “In ten years, mechanical engineering will no longer exist in its current form. Nothing will be sold there without software in the product”, he says. “Machine learning will be the standard then. So this is the right time to deep dive into it.”
Jasmin Dippert, Data Scientist
“I was already programming in my studies and in my free time”, says Jasmin. She was trained as a Data Scientist at Bosch and then moved to a new position. Previously, she worked as an engineer in process development and, among other things, worked on live process monitoring in 3D printing — one of two projects she contributed to the AI training. The goal: an artificial intelligence that uses photos, taken during printing, to detect when a part is about to come out of the 3D printer defective and sounds the alarm. Two mentors from BCAI were on hand to advise her. Her project will now continue in the business unit. In her new job, she is using the skills she learned in stationary fuel cell production. “I\’m glad I took the chance and started something new like this.”
Mai Lan Ha, Data Scientist
In order to be able to offer programs that are as customized as possible, the BCAI implements the training and further education itself — and relies on its own teachers. Mai Lan Ha trains employees at the Bosch Center for Artificial Intelligence (BCAI) in Renningen to become Data Scientist. “Turning your own people into teachers is a great idea”, says the scientist, who did her PhD at the University of Siegen and already has experience in training. “The combination of industry and research really makes sense, as each area benefits from the other.” As a teacher, she also gets in touch with topics and projects in the expert program, through which she continues learning. “As a trainer, I also have to constantly renew my knowledge.”
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Bosch artificial intelligence training initiative | Bosch Global employer: Robert Bosch GmbH
Contact Detail:
Robert Bosch GmbH Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Bosch artificial intelligence training initiative | Bosch Global
✨Tip Number 1
Familiarise yourself with the latest trends in artificial intelligence and data engineering. Follow industry leaders on social media, read relevant blogs, and join online forums to stay updated. This knowledge will not only help you during interviews but also show your genuine interest in the field.
✨Tip Number 2
Network with professionals already working in AI and data science roles. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and mentors. Building these relationships can provide valuable insights and may even lead to job referrals.
✨Tip Number 3
Engage in hands-on projects that demonstrate your skills in data analysis and machine learning. Consider contributing to open-source projects or creating your own portfolio of work. This practical experience will set you apart from other candidates and showcase your ability to apply theoretical knowledge.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and problem-solving scenarios related to data engineering and AI. Use platforms like LeetCode or HackerRank to sharpen your skills. Being well-prepared will boost your confidence and improve your chances of impressing the interviewers.
We think you need these skills to ace Bosch artificial intelligence training initiative | Bosch Global
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly understand the specifics of the Bosch artificial intelligence training initiative. Familiarise yourself with the skills required for data engineering and data science, as well as the goals of the BCAI training programme.
Tailor Your CV: Craft your CV to highlight relevant experience in AI, data engineering, or data science. Include any projects or coursework that demonstrate your ability to work with data and software development, as these will be crucial for this role.
Write a Compelling Cover Letter: In your cover letter, express your enthusiasm for the BCAI training initiative and how it aligns with your career goals. Mention specific aspects of the programme that excite you, such as the opportunity to work on real-world projects or the chance to learn from industry experts.
Showcase Your Learning Mindset: Emphasise your willingness to learn and adapt, especially in the context of AI and software development. Share examples of how you've pursued knowledge in these areas, whether through formal education, online courses, or personal projects.
How to prepare for a job interview at Robert Bosch GmbH
✨Understand the Role of a Data Engineer
Familiarise yourself with the responsibilities of a data engineer, especially in the context of artificial intelligence. Be prepared to discuss how you can contribute to organising and cleansing data for AI training, as this is a key aspect of the role.
✨Showcase Your Technical Skills
Highlight any programming or data analysis skills you possess. Mention specific tools or languages you are proficient in, such as Python, SQL, or machine learning frameworks, as these will be crucial for the position.
✨Demonstrate Problem-Solving Abilities
Be ready to discuss past projects where you identified problems and implemented solutions, particularly those involving data handling or AI. This will show your ability to apply theoretical knowledge to practical situations.
✨Express Enthusiasm for Continuous Learning
Convey your eagerness to learn and grow within the field of artificial intelligence. Mention any relevant courses or training you've undertaken, and express your interest in participating in Bosch's training initiatives.