Data Intern at Jumio Corporation in Remote

Summary: Jumio Corporation is a B2B technology company dedicated to eradicating online identity fraud and other financial crimes. The Intern will assist in advancing the company's capabilities in computer vision and fraud detection projects, contributing to various tasks related to biometric data collection, algorithm testing, and model validation. Responsibilities: - Assist in computer vision and fraud detection projects by contributing to algorithm testing, model validation, and biometric data collection - Utilize Python, MATLAB, and deep learning libraries such as PyTorch and TensorFlow for image processing and analysis tasks - Collaborate with the research team to implement benchmarking metrics and perform ROC analysis - Ensure accuracy in data collection, labeling, and algorithmic testing by paying meticulous attention to detail - Develop and optimize SQL queries to extract, and analyze data for machine learning model training - Communicate effectively with team members through written and verbal channels to provide updates on project progress and findings Required Qualifications: - Availability To Start Immediately Is Required - Enrollment in a graduate program in computer science, computer/electrical engineering, or related fields - Proficiency in Python with working knowledge of image processing libraries - Understanding of benchmarking metrics - Attention to detail and ability to adapt and learn quickly in a fast-paced environment Preferred Qualifications: - Knowledge of different biometric modalities, eKYC, and presentation attacks - Understanding of databases, cloud computing, and storage, particularly AWS data and ML pipelines such as SageMaker and S3 buckets Required Skills: Python, Image processing, Machine learning, MATLAB, Benchmarking metrics, SQL, Computer vision, Fraud detection