Intern-Data Science

As a Data Science/Computer Vision Intern at SigTuple, you will have the opportunity to work on cutting-edge projects in digital microscopy and collaborate with talented professionals. Your role will involve the following responsibilities: - Assist in collecting, preprocessing, and analyzing large-scale datasets for computer vision applications. - Design and implement machine learning algorithms and models for image classification, object detection, and image segmentation. - Develop and optimize computer vision algorithms to extract meaningful insights from visual data. - Collaborate with cross-functional teams to integrate computer vision solutions into existing products or systems. - Evaluate and benchmark the performance of algorithms using appropriate metrics and tools. - Document research findings, methodologies, and results in technical reports or presentations. - Stay up-to-date with the latest developments in data science, computer vision, and related fields. Qualifications required for this role include: - Currently pursuing a Bachelor's or Master's degree in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related field. - Robust programming skills in Python, with experience using libraries such as TensorFlow, PyTorch, OpenCV, and scikit-learn. - Knowledge of machine learning techniques and algorithms, particularly in the context of computer vision. - Familiarity with deep learning architectures (e.g., CNNs, RNNs) and frameworks (e.g., TensorFlow, PyTorch). - Experience working with image and video data, including preprocessing, feature extraction, and augmentation. - Proficiency in version control systems (e.g., Git) and collaborative development tools. - Excellent problem-solving skills and attention to detail. - Effective communication skills, with the ability to explain complex concepts to technical and non-technical stakeholders. - Prior research or project experience in data science, computer vision, or related fields is a plus. As a Data Science/Computer Vision Intern at SigTuple, you will have the opportunity to work on cutting-edge projects in digital microscopy and collaborate with talented professionals. Your role will involve the following responsibilities: - Assist in collecting, preprocessing, and analyzing large-scale datasets for computer vision applications. - Design and implement machine learning algorithms and models for image classification, object detection, and image segmentation. - Develop and optimize computer vision algorithms to extract meaningful insights from visual data. - Collaborate with cross-functional teams to integrate computer vision solutions into existing products or systems. - Evaluate and benchmark the performance of algorithms using appropriate metrics and tools. - Document research findings, methodologies, and results in technical reports or presentations. - Stay up-to-date with the latest developments in data science, computer vision, and related fields. Qualifications required for this role include: - Currently pursuing a Bachelor's or Master's degree in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related field. - Robust programming skills in Python, with experience using libraries such as TensorFlow, PyTorch, OpenCV, and scikit-learn. - Knowledge of machine learning techniques and algorithms, particularly in the context of computer vision. - Familiarity with deep learning architectures (e.g., CNNs, RNNs) and frameworks (e.g., TensorFlow, PyTorch). - Experience working with image and video data, including preprocessing, feature extraction, and augmentation. - Proficiency in version control systems (e.g., Git) and collaborative development tools. - Excellent problem-solving skills and attention to detail. - Effective communication skills, with the ability to explain complex concepts to technical and non-technical stakeholders. - Prior research or project experience in data science, computer vision, or related fields is a plus.