- Image Detection Development : Design, develop, and implement image detection solutions using Python and relevant image recognition modules.
- Data Analysis : Utilize data analytics techniques to extract meaningful insights from images, contributing to improved decision-making processes in the banking domain.
- Collaboration : Work closely with cross-functional teams, including data scientists, software engineers, and business analysts, to integrate image detection solutions into existing banking systems.
- Algorithm Optimization : Continuously optimize image recognition algorithms to improve accuracy, efficiency, and performance.
- Domain Expertise : Stay informed about the latest developments in image detection technologies and maintain a strong understanding of the banking domain to ensure effective solution design.
Qualification:
- Education : Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Experience :
- Proven experience in developing image detection solutions using Python.
- Familiarity with popular image recognition modules such as OpenCV, TensorFlow, or PyTorch.
- Previous work experience in the banking domain is highly desirable.
Skills :
- Proficient in Python programming.
- Strong understanding of image processing and computer vision techniques.
- Excellent problem-solving skills and attention to detail.
- Ability to work independently and collaboratively in a team environment.
- Strong communication skills to effectively convey technical concepts to both technical and non-technical stakeholders.
Preferred Additional Skills :
- Knowledge of OCR (Optical Character Recognition) technologies.
- Experience with deep learning frameworks for image recognition.
- Familiarity with data visualization tools.