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 Boschs technology strategy.
- Work closely with data science backend product and platform teams across Boschs 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
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
Working Style & Methods
Personality
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 dont just happen. They are made...
Make it happen! We are looking forward to your application!
Remote Work :
No
Employment Type :
Full-time
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 mic...
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 Boschs technology strategy.
- Work closely with data science backend product and platform teams across Boschs 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
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
Working Style & Methods
Personality
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 dont just happen. They are made...
Make it happen! We are looking forward to your application!
Remote Work :
No
Employment Type :
Full-time
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