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- 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.
- Proficient in Python programming.
- Strong understanding of image processing and computer vision techniques.
- Excellent problemsolving 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 nontechnical stakeholders.
- Knowledge of OCR (Optical Character Recognition) technologies.
- Experience with deep learning frameworks for image recognition.
- Familiarity with data visualization tools.
Manager/Senior Manager - Bengaluru, India - HuQuo
Description
Job Description:
We are seeking a highly skilled and motivated individual to join our team as an Image Detection/Analytics Specialist in the banking domain.
As a key member of our technology team, you will play a crucial role in developing and implementing image detection solutions to enhance our banking 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 Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Experience:
Skills:
Preferred Additional Skills:
Location:
Gurgaon/Pune/Bangalore/Noida, currently 2 days work from office and 3 days work from home.
Work timings 1-10 PM IST. Flexible hours on few days for better cross-collaboration with onshore team
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