Computer Vision Engineer

Role Overview: As a Computer Vision Engineer at DeepQuanty Artificial Intelligence Labs, you will have the opportunity to work in a startup environment and apply your cross-functional skill-sets, creativity, and experience in computer vision, machine learning, robotics, and control systems to solve exciting product development challenges. This role offers high visibility within the fast-growing company, with the expectation of assuming increased responsibilities over time. Key Responsibilities: - Utilize your 4+ years of experience as a software developer to contribute to the development of AI and machine learning solutions. - Apply your minimum 2 years of experience in AI/Machine Learning and minimum 1 year of experience in Deep Learning to drive innovation in computer vision projects. - Collaborate with the team to implement machine learning models in computer vision using frameworks such as OpenCV, Tensorflow/Keras/PyTorch, Scikit-Learn, Matplotlib, Pandas, and Numpy. - Demonstrate proficiency in Python programming and work with Flask/Django/Tornado frameworks. - Leverage your expertise in working with Development Environment on Linux to enhance product development processes. Qualifications Required: - Bachelor's or Master's Degree in Computer Science or a related field. - Strong background in Machine Learning in Computer Vision. - Hands-on experience with frameworks like OpenCV, Tensorflow/Keras/PyTorch, Scikit-Learn, Matplotlib, Pandas, and Numpy. - Proficiency in Python programming. - Experience working with Flask/Django/Tornado frameworks. - Familiarity with Development Environment on Linux. (Note: The additional details of the company were not included in the job description provided),