Machine Learning Engineer
Hang- Full Time
- Senior (5 to 8 years)
Candidates should possess 5+ years of experience in Deep Learning and Computer Vision, fluency in Python, and comprehensive knowledge in either PyTorch or TensorFlow. They should have worked on several industry-level projects and demonstrate creativity and curiosity for solving complex problems, along with fluency in English.
The Machine Learning Engineer will develop innovative ML solutions for challenging business problems, partner with product teams to analyze key business problems, collaborate with data science and engineering teams to integrate and validate computer vision solutions end-to-end, and deliver enduring value in terms of software and modeling artifacts. They will also implement face liveness detection algorithms and develop solutions to ensure the integrity of biometric authentication systems, enhancing security and usability.
Identity verification and authentication platform
Incode provides an identity verification and authentication platform that helps businesses identify legitimate users and prevent fraud. The platform uses an AI-driven, fully automated system to offer quick and seamless verification for genuine users, while also providing tools to re-engage customers and boost conversions. Incode's technology includes advanced features like deepfake detection and deterministic identity checks, making it effective against sophisticated fraud attempts. Their Verify solution is designed for enterprises to manage customer verifications throughout the user journey, while Incode Workforce uses facial biometrics for employee authentication to safeguard critical interactions. Additionally, Incode Age Assurance assists companies in adhering to age-related regulations. The goal of Incode is to enable businesses to achieve their security and compliance objectives, allowing them to concentrate on growth.