Your contribution to something big:
- Research design and develop machine learning models (supervised unsupervised and reinforcement learning) and deep learning architectures to solve complex business problems.
- Build end-to-end data pipelines including data collection preprocessing and model deployment.
- Implement mathematical and statistical techniques (e.g. linear regression logistic regression time series analysis gradient-boosting) efficiently and accurately.
- Keep up to date with the latest ML/DL research frameworks and tools incorporating relevant advancements into existing workflows.
- Collaborate with software engineers data scientists and product managers to integrate AI solutions into production environments.
- Perform error analysis and refinements of models to ensure the highest possible performance and reliability.
- Document processes architectures and best practices to maintain clarity and continuity across teams.
Qualifications :
What distinguishes you:
- Bachelors or Masters degree in Computer Science Electrical Engineering Mathematics Statistics or a related field. A Ph.D. is a plus.
- Strong foundation in mathematical concepts including linear algebra calculus probability and statistics.
- Proven experience in building and deploying ML models (regression classification clustering etc.) and deep learning architectures (CNNs RNNs transformers etc.).
- Proficiency in one or more programming languages commonly used in ML/DL (e.g. Python R C); experience with frameworks such as TensorFlow PyTorch or scikit-learn is highly desirable.
- Solid understanding of software engineering best practices including version control (Git) testing continuous integration and containerization (Docker Kubernetes).
- Familiarity with cloud platforms (AWS GCP Azure) for ML model deployment and data storage.
- Strong problem-solving skills with an ability to understand complex domains and produce innovative high-impact solutions.
- Excellent communication and collaboration skills to work effectively with both technical and non-technical stakeholders.
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:Research design and develop machine learning models (supervised unsupervised and reinforcement learning) and deep learning architectures to solve complex business problems.Build end-to-end data pipelines including data collection preprocessing and model deployment....
Your contribution to something big:
- Research design and develop machine learning models (supervised unsupervised and reinforcement learning) and deep learning architectures to solve complex business problems.
- Build end-to-end data pipelines including data collection preprocessing and model deployment.
- Implement mathematical and statistical techniques (e.g. linear regression logistic regression time series analysis gradient-boosting) efficiently and accurately.
- Keep up to date with the latest ML/DL research frameworks and tools incorporating relevant advancements into existing workflows.
- Collaborate with software engineers data scientists and product managers to integrate AI solutions into production environments.
- Perform error analysis and refinements of models to ensure the highest possible performance and reliability.
- Document processes architectures and best practices to maintain clarity and continuity across teams.
Qualifications :
What distinguishes you:
- Bachelors or Masters degree in Computer Science Electrical Engineering Mathematics Statistics or a related field. A Ph.D. is a plus.
- Strong foundation in mathematical concepts including linear algebra calculus probability and statistics.
- Proven experience in building and deploying ML models (regression classification clustering etc.) and deep learning architectures (CNNs RNNs transformers etc.).
- Proficiency in one or more programming languages commonly used in ML/DL (e.g. Python R C); experience with frameworks such as TensorFlow PyTorch or scikit-learn is highly desirable.
- Solid understanding of software engineering best practices including version control (Git) testing continuous integration and containerization (Docker Kubernetes).
- Familiarity with cloud platforms (AWS GCP Azure) for ML model deployment and data storage.
- Strong problem-solving skills with an ability to understand complex domains and produce innovative high-impact solutions.
- Excellent communication and collaboration skills to work effectively with both technical and non-technical stakeholders.
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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