- Identify business problems and solve them by finding data and methods resulting in measurable business improvements.
- Identify the most effective solution for a given problem that can range from mathematical/statistical to machine learning or deep learning models.
- Deploy and continuously monitor the solution to ensure business impact
- Exchange with other ML engineers data-scientists business stakeholders HW and SW experts that will help you delivering valuable and robust solutions.
Qualifications :
- Completed degree in mathematics computer science physics software.
- Knowledge in machine learning model development evaluation and optimization.
- Extensive math and computer skills with a deep understanding of probability statistics and algorithms.
- Experience with Python and relevant libraries (Pytorch Tensorflow Sklearn Scipy Numpy Pandas Matplotlib Pyplot Dask QT Streamlit Holoviz MLFlow and DVC)
- Experience with code versioning tools like Git
- Study and transform data science prototypes and apply appropriate machine learning algorithms and tools.
- Knowledge with signal processing techniques (filtering resampling etc).
- Familiar with data structures data modeling and software architecture
- Interest in working in distributed teams using agile development methods.
- Strong team skills very good communication skills goal-oriented.
- Motivated and creative with high analytical skills product-focused and customer-centric mindset.
- Analytical and problem-solving skills
- Very good language skills in English (written and spoken).
Additional Information :
Work #LikeABosch means:
Flexible work conditions
Hybrid work system
Exchange with colleagues around the world
Health insurance and medical office on site
Training opportunities
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 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
Identify business problems and solve them by finding data and methods resulting in measurable business improvements.Identify the most effective solution for a given problem that can range from mathematical/statistical to machine learning or deep learning models.Deploy and continuously monitor the so...
- Identify business problems and solve them by finding data and methods resulting in measurable business improvements.
- Identify the most effective solution for a given problem that can range from mathematical/statistical to machine learning or deep learning models.
- Deploy and continuously monitor the solution to ensure business impact
- Exchange with other ML engineers data-scientists business stakeholders HW and SW experts that will help you delivering valuable and robust solutions.
Qualifications :
- Completed degree in mathematics computer science physics software.
- Knowledge in machine learning model development evaluation and optimization.
- Extensive math and computer skills with a deep understanding of probability statistics and algorithms.
- Experience with Python and relevant libraries (Pytorch Tensorflow Sklearn Scipy Numpy Pandas Matplotlib Pyplot Dask QT Streamlit Holoviz MLFlow and DVC)
- Experience with code versioning tools like Git
- Study and transform data science prototypes and apply appropriate machine learning algorithms and tools.
- Knowledge with signal processing techniques (filtering resampling etc).
- Familiar with data structures data modeling and software architecture
- Interest in working in distributed teams using agile development methods.
- Strong team skills very good communication skills goal-oriented.
- Motivated and creative with high analytical skills product-focused and customer-centric mindset.
- Analytical and problem-solving skills
- Very good language skills in English (written and spoken).
Additional Information :
Work #LikeABosch means:
Flexible work conditions
Hybrid work system
Exchange with colleagues around the world
Health insurance and medical office on site
Training opportunities
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 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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