Senior AI Engineer

Company Description

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: We grow together, we enjoy our work, and we inspire each other. Welcome to Bosch.

Job Description

Your tasks:

► You will work as part of our global Data Science team to provide data driven AI solutions for our internal customers using state-of-the-art Machine Learning methods and tools.

► In collaboration with other Bosch units you will enhance and operate our existing cloud based solutions as well as explore new potential Machine Learning use cases.

► You will be able to discover the full world of our business data platform to generate insights into the data and in such way create an impact on the decision making process at Bosch.

► You will work in direct exchange with our internal customers and international agile team of developers and Data Scientists to gain insights from our global business data platform.

► As an employee of the global cross-functional Business Intelligence team (xBI), you will work on the future steering of Bosch together with Data Modelers, Data Engineers and Business Analysts.

► We live agile values ​​so that you can contribute your ideas and experiences for the benefit of the team and the company.

► As part of the leading in-house provider for data and analytics based solutions within Bosch, you will experience the start-up spirit with us and make your contribution through entrepreneurial thinking and acting.

Qualifications

► M.Sc. or Ph.D. in one of the following areas: Computer Science, Data Science, Mathematics, Statistics, Physics, Bioinformatics or other related areas.

► At least 3 years of professional experience in AI Engineering.

AI Engineering Know-How:

► Expert-level Python programming skills with a Clean Code mindset

► Proven track record of deploying ML & DL models into production, covering the full lifecycle

► Experience in MLOps: automating model training, inference, and monitoring

► Proficiency with Docker, Kubernetes, MLflow, Azure DevOps, GitHub Actions, Jenkins

► Hands-on experience building automated data and ML pipelines in Microsoft Azure

► Experience developing production-ready Web APIs in Python

Machine Learning Know-How:

► Solid understanding of ML workflows (training, fine-tuning, inference, monitoring)

► Basic practical knowledge in ML/DL areas such as regression, classification, anomaly detection, time series forecasting, clustering, pattern recognition, data mining, recommendation systems

Personality & Mindset:

► A team player with a responsible, flexible and committed attitude

► Agile, analytical, proactive, results- and solution-oriented

► Focus on high code quality and software craftsmanship

► Fluent in English, both written and spoken

Additional Information

Get to know our #LikeABosch benefits.

We would like to help you GROW, so we offer you:

• Financial security & recognition: We review and increase your competitive base salary annually, offer performance-, loyalty-, and referral bonus.

• Trainings and professional development: We believe in a Life-Long Learning approach, so you can take advantage of several technical and soft skill trainings and language courses.

• Career development: We have a wide range of programs to choose from, even if its leadership, expert or project development you are aiming for. We also offer mentoring and coaching opportunities, we have PhD program and we offer international assignment possibilities.

We would like you to ENJOY the benefits of balancing your life and your work, so we pay attention to:

• Your work life-balance: You can work from our activity based offices designed for creativity and efficiency or from home while enjoying flexible working hours. We offer childcare possibilities and sabbatical option.

• Your health and well-being: We provide free professional consultants for any personal, legal, financial or health related issues. You can benefit from our developing onsite medical center and organized regular health checkups.

• We also offer you several perks and benefits: You can use your annual cafeteria allowance flexibly for family support (e.g. tax-free kindergarten and nursery allowances), health care, mobility (car sharing services) and recreation. You can enjoy our onsite canteen, we support when you work from home and if you live far, we cover your commute costs. We also appreciate your loyalty with jubilee gift and extra jubilee holiday.

You could join an INSPIRING community worth to belong:

• We are true to our values: We are committed to sustainability, we value that everyone is different and that diversity makes us truly successful. We also take social responsibility seriously and regularly organize charity actions, blood donations and support worthy causes.

• Team building activities and community events are also part of our everydays. We like to come together for a good summer party or family day.

Are you ready to work #LikeABosch?

Please be aware that this position might need to undergo Pre-Employment Screening after your consent. In this case you will be contacted by the recruiter individually. Please find further information with regards to Pre-Employment Screening within our data privacy notice.

Please apply with your English CV!

If you require any further information, please feel free to contact us on the following number: +36 80 18 08 01. Our colleagues can help you with answers during the weekdays between 08:00 a.m. till 16:00 p.m.