We offer the industry’s only platform that fuses customer identity and anti-fraud solutions – customer identity management, identity verification, and fraud prevention. We sell to industries with large, consumer-facing businesses such as: banking, financial services, insurance, fintech, gaming, ecommerce/retail, telco / media, utilities, etc.About the Role: In this role, you will take an integral part in the creation of a new and innovative SaaS product. If you are a talented Data Scientist that likes to solve complex problems and looking for your next challenge we want you to join our team!What You’ll Be Doing
Create ML/DL flows to solve multi-stage problems, mainly in the Computer Vision domain, but not exclusively.
Build the foundation of a new and exciting ML based product, including best practices, defining data pipeline requirements, metrics evaluation, data exploration and visualization.
Take part in bringing SOTA algorithms to the production environment, to solve key pain points for customers.
What you’ll need:
Bachelor degree in computer science or a related field.
At least 3 years of experience in a data-scientist/algorithms-developer/software-engineer position/CV-engineer.
Proficiency in Python.
Knowledge of data science toolkits such as NumPy, Scikit-learn and OpenCV/PyTorch/TensorFlow.
Familiarity with cloud-based infrastructure.
Independent, persistent, and a “getting things done” person.
Excellent interpersonal skills.
Ability and drive to learn new things.
Advantages:
Master’s degree in Computer Science or a related field.
Experience with Computer Vision algorithms.
Experience in data mining and machine learning.
Ability to store and process unstructured data with NoSQL databases.
Experience with Vector DBs
Experienced with identity management/risk assessment/fraud detection.
