About the Job:
Shory is revolutionizing the Insurtech market, ushering in a new era where insurance truly empowers its customers. Our mission is to leverage technology to provide peace of mind and build trust around insurance needs.
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About the Role & Opportunity:
We are seeking an experienced Data Scientist specializing in Computer Vision to join our AI and Machine Learning team. The ideal candidate will possess a strong background in deep learning, image processing, and model deployment, along with a proven track record of delivering innovative computer vision solutions. You will engage in projects focused on object detection, image segmentation, fraud image detection, and other vision-based applications.
Key Responsibilities:
- Develop and implement advanced computer vision algorithms for object detection, classification, segmentation, and recognition.
- Research and experiment with deep learning architectures such as CNNs, RNNs, GANs, and transformers for image and video analysis.
- Preprocess and annotate image datasets to enhance model training.
- Optimize and fine-tune computer vision models for performance, accuracy, and efficiency.
- Deploy models to production environments and integrate them into scalable AI-driven applications.
- Collaborate with cross-functional teams, including software engineers and product managers, to align AI solutions with business objectives.
- Stay informed about the latest research and advancements in the field of computer vision and deep learning.
- Document methodologies, findings, and model performance metrics for knowledge sharing and transparency.
- Implement security measures for all AI deployments to guard against unauthorized access and risks.
- Ensure AI models comply with the company's ethics and compliance rules.
- Mentor junior team members by providing guidance and training.
Skills, Education & Experience Required:
- 2-5 years of experience as a Data Scientist from an IT company.
- 5+ years of hands-on experience in data science with a focus on computer vision/Natural Language Processing.
- Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Strong knowledge of image processing libraries like 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.
- Ability to work with large-scale datasets and distributed computing frameworks.
- Strong analytical and problem-solving skills, with the capacity to translate business requirements into technical solutions.
- Excellent communication skills and the ability to work collaboratively with multidisciplinary teams.
If you have the relevant experience and are interested in joining our team, please apply for this position.
