Your tasks:

• You will design, develop, and validate data-driven models and AI solutions to support Engineering and Manufacturing use cases within the ME ECU domain;

• You will explore, analyze, and transform complex engineering and manufacturing data to generate actionable insights and enable predictive and prescriptive solutions;

• You will develop, train, evaluate, and deploy machine learning and AI models (e.g. forecasting, anomaly detection, optimization, computer vision) on the ECU Engineering data platform;

• You will work with diverse data types, data sources, and existing building blocks (e.g. APIs, microservices, feature stores) in close collaboration with data engineers and domain experts;

• You will design and operate end-to-end ML pipelines, including data preparation, model training, validation, deployment, monitoring, and retraining;

• You will define and implement strategies for model quality, explainability, robustness, and lifecycle management, including monitoring of data and model drift;

• In addition, you will contribute to the industrialization of AI solutions, including automated integration, orchestration, and scalable deployment of models into manufacturing and engineering environments.

Join us as a key enabler for AI-driven digitalization in Engineering and Manufacturing at ME.

• Completed university studies (Master's degree or PhD) in Computer Science, Data Science, Statistics, Mathematics, Physics, or a comparable subject;

• Proven experience in developing data-driven and AI-based solutions, ideally in an industrial, engineering, or manufacturing context;

• Strong programming skills in Python (and/or Scala/Java) and hands-on experience with ML and data processing frameworks (e.g. Py Torch, Tensor Flow, scikit-learn, Spark);

• Experience with cloud-based AI platforms and MLOps workflows, preferably on Azure and Databricks (model training, tracking, deployment);

• Knowledge of data engineering fundamentals, including data lakes, feature engineering, pipeline orchestration, and data versioning;

• Familiarity with containerization and automation technologies (Docker, CI/CD pipelines, GitHub Actions);

• Experience with streaming or near-real-time data processing and inference (e.g. Kafka) is a plus;

• Strong analytical thinking, problem-solving skills, and ability to translate business and engineering questions into AI solutions;

• Team-oriented mindset with excellent collaboration skills in a global, cross-functional environment;

• Very good communication skills in written and spoken English and Hungarian.

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 toour 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 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 11:00 a.m.

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.