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Machine Learning Engineer for Biometric Verification and Fraud Analysis
2 meses atrás
The Company:
Entrust is a global leader in digital security and credential issuance solutions, enabling trusted identities, payments, and data protection around the globe. Our mission is to keep the world moving safely by providing seamless and secure experiences for individuals and organizations.
We Believe:
At Entrust, we value diversity and inclusion, and we are committed to building a diverse workforce with wide perspectives and innovative ideas. We welcome applications from qualified individuals of all backgrounds, and we strive to provide an accessible experience for candidates of all abilities.
Position Overview:
We are seeking a skilled Machine Learning Engineer to join our team and help us tackle the challenges of bringing identities online. The ideal candidate will have experience with machine learning-backed services for automated biometric verification, document classification and extraction, and fraud analysis.
Responsibilities:
- Develop state-of-the-art machine learning models for automated biometric verification, document classification, and extraction.
- Build automated pipelines for minimizing the time and effort of bringing support to new models and capabilities.
- Iterate over research projects to optimize them and deploy them to production.
- Continuously improve monitoring and tracing to provide a highly available service for our customers.
Requirements:
- Good knowledge and experience with Python.
- Familiarity with scientific libraries and frameworks such as Numpy, TensorFlow, Keras, Scikit-Learn, OpenCV, and ONNX.
- Interested in developing, deploying, and monitoring production-facing machine learning systems.
- Enthusiastic and technically curious about ML technologies.
- Capable with testing frameworks, such as PyTest.
- Experience with dependency management tools, such as Poetry.
About Entrust:
Entrust is an EOE/AA/Disabled/Veterans Employer. We are committed to building a diverse workforce with wide perspectives and innovative ideas. We welcome applications from qualified individuals of all backgrounds, and we strive to provide an accessible experience for candidates of all abilities.
