The Bosch Group has more than employees around the world, present in 60 countries, and we are proud to impact people's lives and to work towards a more sustainable future.
Bosch Car Multimedia, S.A. belongs to the Automotive Electronics division and is focused on making the vehicles our third living space. About 3.600 associates are committed to develop and produce high quality technology that shape change in mobility worldwide. The company' success lies in its highly specialized and innovative team, and on the technological know-how which makes Bosch the leading supplier in the automotive market.
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. Join in and feel the difference in mindsets, cultures, generations, identities and perspectives. Everyone should bring their authenticity and work together respectfully. Bosch is an employer that values diversity and equal opportunities. We welcome applications from people with disabilities and we can provide reasonable accommodations during the recruitment process and in the performance of professional activity. By including everyone and ensuring equal opportunities we unleash our full potential.
Job Description
Your contribution to something big:
* Lead the development of
machine learning and deep learning models
for real-world industrial and enterprise applications.
* Architect and scale
data pipelines for model training, evaluation, and continuous retraining.
* Deploy production-grade ML systems
using REST APIs, microservices, or streaming inference.
* Own and evolve the
MLOps strategy
: model versioning, CI/CD, observability, monitoring, retraining, and experiment tracking.
* Collaborate with stakeholders
to define the
AI solution architecture and roadmap
, ensuring alignment with Bosch's technology strategy.
* Work closely with
data science, backend, product, and platform teams
across Bosch's global tech units.
* Ensure
responsible AI
principles: performance, fairness, robustness, and explainability.
* Mentor and support
junior ML engineers, fostering best practices and continuous learning.
Qualifications
What distinguishes you:
Education
* Degree in
Computer Science, Data Science, AI
, or a related field (Master's or PhD preferred, or equivalent experience).
Experience
* 5+ years of
hands-on experience
in machine learning or AI engineering.
* Proven track record deploying
ML systems into production
environments.
* Experience with
cloud platforms
(Azure preferred).
Know-how
* Strong programming skills in
Python
and experience with ML frameworks (PyTorch, TensorFlow, Scikit-Learn, or PySpark).
* Familiar with
MLOps tools
such as MLflow, Kubeflow, DVC, Airflow, Argo, or similar.
* Solid understanding of
system design, distributed computing
, and
data architecture
.
* Experience in at least one domain:
Computer Vision, NLP/LLMs, Predictive Maintenance, Optimization, or Time Series
.
Languages
* Fluent in English. German is a plus.
Working Style & Methods
* Structured, collaborative, and proactive in a
cross-functional and international
environment.
Personality
* Curious, open-minded, and passionate about creating
AI that matters
— responsibly and at scale.
Additional Information
Work includes:
Flexible work conditions
Hybrid work system
Exchange with colleagues around the world
Health insurance and medical office on site (psychology and general clinic)
Training opportunities (p.e., technical training, foreign languages training) & certifications
Opportunities for career progression and continuous professional development
Access to great discounts in partnerships and Bosch products
Sports and health related activities
Great access to public transports
Free transport from Porto
Flexible benefits platform
Free parking lot
Canteen
Success stories don´t just happen. They are made...
Make it happen We are looking forward to your application