Shory is transforming the Insurtech market by empowering customers through technology, fostering ease of mind and trustworthiness in insurance needs. We are seeking an experienced Data Scientist specializing in Computer Vision to join our AI and Machine Learning team.
As a Data Scientist at Shory, you will focus on developing innovative computer vision solutions through a variety of projects, including object detection, image segmentation, and fraud detection. Your responsibilities will include:
- Developing and implementing state-of-the-art computer vision algorithms for object detection, classification, segmentation, and recognition.
- Researching and experimenting with deep learning architectures such as CNNs, RNNs, GANs, and transformers for image and video analysis.
- Preprocessing and annotating image datasets to enhance model training.
- Optimizing and fine-tuning computer vision models for performance, accuracy, and efficiency.
- Deploying models to production environments and integrating them into scalable AI-driven applications.
- Collaborating with cross-functional teams to align AI solutions with business objectives.
- Staying current with the latest research and advancements in computer vision and deep learning.
- Documenting methodologies, findings, and model performance metrics for knowledge sharing.
Security, Compliance & Ethics:
- Implementing security measures for all AI deployments to guard against unauthorized access and potential breaches.
- Ensuring AI models comply with company ethics and compliance regulations.
- Mentoring junior team members, providing guidance and training.
Skills, Education & Experience Required:
- 2-5 years of experience as a Data Scientist in an IT company.
- 5+ years of hands-on experience in data science with a focus on computer vision.
- Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Strong knowledge of image processing libraries (e.g., OpenCV) and image annotation tools.
- Experience in training and deploying deep learning models in cloud environments (AWS, Azure, GCP).
- Familiarity with MLOps best practices for model lifecycle management and monitoring.
- Solid understanding of classical computer vision techniques and their applications.
- Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.
- Excellent communication skills and the ability to collaborate with multidisciplinary teams.
If you have the relevant experience and are interested in being part of our team, we encourage you to apply for this position.
