AI Engineer
hace 3 semanas
About the Job
We are seeking an experienced AI engineer to join our team at Alice. As a key member of our computer vision and machine learning team, you will be responsible for developing and deploying cutting-edge fraud detection technology in the fields of security and document intelligence, facial recognition, and advanced anti-spoofing.
Key Responsibilities
- Formulate innovative approaches to combat fraud using computer vision and machine learning.
- Create new features, train new models, and deploy them into production environment.
- Contribute to the extension and improvement of our ML frameworks and platform, creating next-generation capabilities.
- Build and deploy solutions to interesting computer vision or machine learning problems, including document data extraction, fraud detection, or biometric verification challenges.
- Design and implement efficient pre-processing steps around digital images or video files.
- Work alongside other machine learning and computer vision specialists to deliver on both short-term and long-term objectives.
- Support and guide other engineers in learning about, applying, and delivering product features driven by machine learning techniques.
About You
The ideal candidate for this role:
- Has demonstrable experience in Face Recognition, Presentation Attack Detection, or ID Validation.
- Has a Master's degree or PhD in Computer Science, or equivalent experience.
- Is enthusiastic and technically curious about ML and AI technologies.
- Has experience developing, deploying, and operating ML models in production.
- Has hands-on experience working on computer vision and machine learning projects, such as face verification, object detection, and/or classification.
- Has experience training DNN architectures for classification, object detection, and segmentation.
- Has excellent coding skills in Python and proficiency with some of the following machine vision and machine learning frameworks: OpenCV, TensorFlow + Keras, TensorRT, PyTorch, PyTorch + FastAI.
- Has a good working knowledge of the tools in our dev stack, including Git, Google AI/Vertex AI Cloud, Docker, and Kubernetes.
- Has a solid understanding of statistics, probability, linear algebra, and calculus.
- Is comfortable reading, discussing, and applying research from published papers.
- Upholds and promotes good practices in code design, quality, and security.
- Is able to translate complex ideas into understandable content.
- Has a pro-active, self-managing attitude and is keen to take ownership for delivering complex projects, from design to deployment to operation.
What We Offer
In return for your expertise, we offer:
- Learning days, where you can learn during working hours.
- The opportunity to disseminate knowledge through internal meetings and sharing experiences with the community.
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