Senior Computer Vision Engineer
Aufgaben
- 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.
Profil - 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.
Kontakt & Wissenswertes
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!
Willkommen in Lissabon
Unsere Standort-Vorteile
Gute Anbindung an öffentliche Verkehrsmittel
Gute Anbindung an öffentliche Verkehrsmittel, Dienstrad Leasing, die Wahl zwischen einem kostenlosen Öffi-Ticket für die Kernzone Wien, einem gestützten Klimaticket oder einem Mitarbeitenden-Parkplatz
Vergünstigungen für Mitarbeiter
Vergünstigte Einkaufskonditionen bei uns und unseren Partnerunternehmen, gestützte Kultur- und Freizeitveranstaltungen
Flexibles und mobiles Arbeiten
Gleitzeit und moderne Arbeitszeitmodelle von Teilzeit bis zu Jobsharing, Home-Office und eingearbeitete freie Fenstertage
Gesundheit und Fürsorge
Arbeitsmedizinische Vorsorge und Beratung durch internes ärztliches Personal, kostenlose Impfungen, attraktive Gesundenversicherung, psychosoziale und therapeutische Beratung, persönliche Gesundenvorsorge, Workshops und Vorträge zum Thema Gesundheit, betriebliche Altersvorsorge ab dem 3. Jahr bei Bosch
Trainingsmöglichkeiten und Zertifizierungen
Breites Angebot an Gesundheits- und Sportaktivitäten
Verpflegungsmöglichkeiten vor Ort
Gesunde und schmackhafte Verpflegung zu gestützten Preisen in unserem Betriebsrestaurant und in der Cafeteria, kostenloser Kaffee in unseren Kaffeeküchen
Krankenversicherung
Austausch mit Kollegen auf der ganzen Welt
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