Senior Computer Vision Engineer

1 semana atrás


Lisboa, Lisboa, Portugal Hays Portugal Tempo inteiro
About the Role

As a Data Scientist specializing in Computer Vision, you will be responsible for developing, implementing, and optimizing computer vision algorithms and models. You will work on a variety of projects involving image and video analysis, leveraging your expertise to extract meaningful insights and create innovative solutions.

Key Responsibilities
  • Design, develop, and implement computer vision algorithms for image and video analysis, including object, event, and change detection, recognition, segmentation, and tracking.
  • Train and optimize machine learning models using large datasets, ensuring high accuracy and performance.
  • Perform data preprocessing tasks such as image augmentation, normalization, and annotation to prepare datasets for training and evaluation.
  • Collaborate with engineering teams to deploy computer vision models into production environments and ensure their robustness and scalability.
Requirements
  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, Data Science, or a related field. A Ph.D. is a plus.
  • 3+ years of experience in data science, with a focus on computer vision.
  • Strong programming skills in Python and C++ and experience with frameworks and libraries such as OpenCV, TensorFlow, TensorRT, PyTorch, and Keras.
  • Experience with ML tools such as FiftyOne and annotation tools such as CVAT.
  • Experience with relevant deep learning models such as YOLO.
  • Proficiency in machine learning and deep learning frameworks.
  • Experience with image and video processing techniques.
  • Experience with experimentation platforms such as Jupyter Notebooks.
  • Knowledge of data preprocessing and augmentation techniques for computer vision tasks.
  • Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI services, with a focus on Google Cloud.
  • Experience in getting Machine Learning products into production.
  • Basic knowledge of DevOps best practices and tools: GIT, CI/CD, telemetry, and monitoring, etc.
About Us

You'll be able to join a fast-paced environment and a growing team with a great working spirit in a leading company in its sector. You will also get exposure to a wide variety of business topics and integrate into a world-class company with creative and innovative thinking.

Opportunity to participate in highly recognized projects;

Excellent work environment;

Integration into a dynamic team;

Continuous training opportunities with certification in various technologies;

Career development and growth opportunities;

Possibility of a hybrid work model.


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