Senior Computer Vision Engineer

Posted 2 Days Ago
Be an Early Applicant
Lisboa
5-7 Years Experience
Internet of Things
The Role
The Senior Computer Vision Engineer is responsible for designing and developing advanced computer vision algorithms, implementing deep learning models using TensorFlow or PyTorch, optimizing algorithms for real-time performance, and collaborating with cross-functional teams. They will also evaluate model performance, maintain documentation, and mentor junior members.
Summary Generated by Built In

Company Description

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.

With over 300 specialized associates and around 15 nationalities, Bosch activities in Lisbon are focusing on sales, marketing, communication, training, nearshoring services and shared support for human resources services to Europe. The diversity, commitment and know-how of the team are the key success factors of this organization.

Bosch Service Solutions develops and delivers Customer Experience, Mobility and Monitoring solutions for companies and their customers. Our teams find fast and efficient solutions for thousands of people on a daily basis – from claim management to life-saving emergency calls, among other services. Define the standards and become a pioneer together with around 9000 associates worldwide

Job Description

  • 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.

Qualifications

  • 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.

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!

Top Skills

Python
The Company
HQ: Gerlingen-Schillerhöhe
166,834 Employees
Remote Workplace
Year Founded: 1886

What We Do

The Bosch Group is a leading global supplier of technology and services. It employs roughly 402,600 associates worldwide (as of December 31, 2021). The company generated sales of 78.7 billion euros in 2021. Its operations are divided into four business sectors: Mobility Solutions, Industrial Technology, Consumer Goods, and Energy and Building Technology.

As a leading IoT provider, Bosch offers innovative solutions for smart homes, Industry 4.0, and connected mobility. Bosch is pursuing a vision of mobility that is sustainable, safe, and exciting. It uses its expertise in sensor technology, software, and services, as well as its own IoT cloud, to offer its customers connected, cross-domain solutions from a single source. The Bosch Group’s strategic objective is to facilitate connected living with products and solutions that either contain artificial intelligence (AI) or have been developed or manufactured with its help. Bosch improves quality of life worldwide with products and services that are innovative and spark enthusiasm. In short, Bosch creates technology that is “Invented for life.”

The Bosch Group comprises Robert Bosch GmbH and its roughly 440 subsidiary and regional companies in some 60 countries. Including sales and service partners, Bosch’s global manufacturing, engineering, and sales network covers nearly every country in the world. With its more than 400 locations worldwide, the Bosch Group has been carbon neutral since the first quarter of 2020. The basis for the company’s future growth is its innovative strength. At 128 locations across the globe, Bosch employs some 76,100 associates in research and development, of which more than 38,000 are software engineers.

Instagram: https://www.instagram.com/boschglobal/
Facebook: https://www.facebook.com/BoschGlobal
Twitter: https://www.twitter.com/BoschGlobal
Glassdoor: https://bit.ly/3raTZnH

Imprint: www.bosch.com/corporate-information
Privacy statement: www.bosch.com/data-protection-notice

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