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:
- Master's degree in computer science or a related field.
- At least 5 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:
- Doctorate 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.
#LI-TL1 #LI-Hybrid
