Sobre

• Company Description
• The Bosch Group has more than 400 000 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 #LikeABosch 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!