Responsible:

• Design, develop, merge and optimize algorithms and models for image processing, computer vision, and machine learning applications.
• Implement and deploy machine learning models for object detection, image classification, segmentation, and other related tasks.
• Collect, preprocess, and analyze large datasets to train and validate machine learning models.
• Stay up-to-date with the latest advancements in image processing, computer vision, and machine learning techniques.
• Optimize algorithms and models for real-time and efficient processing on various hardware platforms.
• Write clean, well-documented code and perform code reviews to ensure quality and
• Machine Learning Frameworks TensorFlow, PyTorch, or Keras.

Qualifications:

• Bachelor Degree in Computer Science, Computer Engineering or related technical fields involving Machine Learning or equivalent technical experience
• 3 – 10 years for image processing, computer vision, and machine learning experience.
• Experience with container-based technologies (e.g., Docker, Kubernetes) DevOps practices (e.g., code review, automated testing, CI / CD, logging, performance monitoring) and data processing tools (e.g., Hadoop, Apache Spark, Apache Beam)
• Proficiency in using image processing libraries such as OpenCV.
• Proficiency in programming languages such as Python, C++, or Java.
• Strong communication skills & collaborative mindset