Senior Computer Vision Engineer
Your tasks
- Design and develop advanced computer vision algorithms for diverse applications, ensuring robustness and scalability.
- Implement and fine-tune deep learning models for computer vision tasks using frameworks like TensorFlow or PyTorch.
- Optimize computer vision algorithms for real-time and resource-constrained environments, considering hardware constraints.
- Apply image and video processing techniques for feature extraction, enhancement, and compression.
- Utilize GPU acceleration to enhance the computational efficiency of deep learning models.
- Evaluate and fine-tune computer vision models using relevant metrics and performance indicators, ensuring optimal performance.
- Maintain comprehensive documentation for algorithms, implementations, and evaluations.
- Present findings and insights in a clear and concise manner to stakeholders.
- Collaborate with cross-functional teams, providing technical leadership and mentoring junior team members.
Your profile - Master's or Ph.D. in Computer Science, Computer Vision, or a related field.
- Three years of hands-on experience in computer vision, with a focus on deep learning and applied algorithms.
- Extensive hands-on experience in computer vision algorithm development, image processing, and feature extraction.
- Proficient in designing and implementing deep learning models for computer vision tasks using frameworks such as TensorFlow or PyTorch.
- Expertise in Python for developing robust and scalable computer vision algorithms.
- Strong knowledge of Python libraries such as OpenCV, NumPy, and scikit-learn.
- Proven experience in applying deep learning techniques to solve real-world computer vision challenges, including object detection, image segmentation, and image classification.
- Skilled in optimizing computer vision algorithms for performance and efficiency, considering real-time and resource-constrained applications.
- In-depth knowledge of image and video processing techniques, including feature extraction, enhancement, and compression.
- Familiarity with GPU acceleration for deep learning tasks, utilizing technologies such as CUDA for improved computational efficiency.
- Experience in evaluating and fine-tuning computer vision models using relevant metrics and performance indicators.
- Proficient in using version control systems (e.g., Git) and collaborating effectively within interdisciplinary teams.
- Master's or Ph.D. in Computer Science, Computer Vision, or a related field.
- Three years of hands-on experience in computer vision, with a focus on deep learning and applied algorithms.
- Extensive hands-on experience in computer vision algorithm development, image processing, and feature extraction.
- Proficient in designing and implementing deep learning models for computer vision tasks using frameworks such as TensorFlow or PyTorch.
- Expertise in Python for developing robust and scalable computer vision algorithms.
- Strong knowledge of Python libraries such as OpenCV, NumPy, and scikit-learn.
- Proven experience in applying deep learning techniques to solve real-world computer vision challenges, including object detection, image segmentation, and image classification.
- Skilled in optimizing computer vision algorithms for performance and efficiency, considering real-time and resource-constrained applications.
- In-depth knowledge of image and video processing techniques, including feature extraction, enhancement, and compression.
- Familiarity with GPU acceleration for deep learning tasks, utilizing technologies such as CUDA for improved computational efficiency.
- Experience in evaluating and fine-tuning computer vision models using relevant metrics and performance indicators.
- Proficient in using version control systems (e.g., Git) and collaborating effectively within interdisciplinary teams.
Contact & additional information
What we offer you:
Challenges in an international environment | career opportunities in one of the best companies in the world | flexible hours | medical services | discounts for employees | sports and health related activities | canteen | good access to public transports | space for creativity.
Success stories don´t just happen. They are made...
Make it happen! We are looking forward to your application!
Welcome to Lisboa
In Lisbon, the capital of Portugal, home of Pasteis de Nata and the place where Bosch's history began in Portugal. With over 600 employees from around 30 nationalities, Bosch Lisbon specializes in sales, marketing, communication, training, IT and HR support services for Europe. It's prime location in the capital provides access to a multicultural and dynamic city, offering excellent quality of life and easy transportation via Humberto Delgado Airport. This combination makes Bosch Lisbon an appealing choice for professionals seeking career growth and work-life balance.
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1800-220 Lisboa
PT

Location benefits
Discounts for employees
Discounted purchasing conditions with us and our partner companies, subsidised cultural and leisure events
Flexible and mobile working
Flexitime and modern working time models ranging from part-time to job sharing, home office and incorporated window days off
Well connected to public transport
Good public transport connections, company bike leasing, choice between a free public transport ticket for the Vienna core zone, a subsidised climate ticket or an employee car park
Company doctor on site
Occupational health care and counselling by internal medical staff, free vaccinations, attractive health insurance, psychosocial and therapeutic counselling, personal health care, workshops and lectures on the subject of health, company pension scheme from the 3rd year at Bosch
Training opportunities & Certifications
Wide range of health and sports activities
Catering facilities on site
Healthy and tasty meals at subsidised prices in our company restaurant and cafeteria, free coffee in our coffee kitchens
Health Insurance
Exchange with colleagues around the world
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