Data Intern at Jumio Corporation in Remote

Summary: Jumio is a B2B technology company dedicated to eradicating online identity fraud, money laundering and other financial crimes. The Intern will play a vital role in advancing the company's capabilities in computer vision and fraud detection projects, contributing to research and development initiatives. 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, Computer vision, Fraud detection, PyTorch, TensorFlow, Benchmarking metrics, ROC analysis, SQL, AWS, SageMaker