Jumio is looking to advance its capabilities in computer vision and fraud detection projects, as well as contribute to research and development initiatives to eradicate online identity fraud, money laundering, and other financial crimes.
Requirements
- Proficiency in Python with working knowledge of image processing libraries.
- Understanding of benchmarking metrics.
- 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.
- Knowledge of MATLAB
- Familiarity with AWS, and SageMaker
- Working knowledge of deep learning libraries such as PyTorch and TensorFlow
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.
- Travel to Jumio's Lenexa, KS office 2-4 times a week to collaborate with team members and participate in project discussions.
- Communicate effectively with team members through written and verbal channels to provide updates on project progress and findings.
Other
- Enrollment in a graduate program in computer science, computer/electrical engineering, or related fields.
- Availability to start immediately is required.
- Travel to Jumio's Lenexa, KS office 2-4 times a week to collaborate with team members and participate in project discussions.
- Friendly and supportive
- Adaptable and flexible
