Role overview
Responsibilities
* Design and implement ML, deep learning, and classical CV algorithms for liveness detection.
* Conduct research to support deployment of advanced algorithms.
* Develop, evolve, and support production-quality code.
* Deploy models as AWS SageMaker endpoints or directly onto devices.
* Stay updated with advancements in DL, CV, and biometric verification.
* Collaborate with engineers and product managers in an Agile environment.
Experience and Qualifications
* Bachelors or Master’s in CS, Data Science, ML, or related fields.
* 5+ years of commercial experience (or 2+ with Master’s) in CV or related areas.
* Strong proficiency in CV and deep learning techniques.
* Hands-on experience with PyTorch/TensorFlow, OpenCV, SKLearn, and production-grade
Python.
* Experience monitoring and maintaining ML models in production.
* Experience building, training, and deploying ML models.
* Strong communication and problem-solving skills.
What you'll work on
* Design and implement ML, deep learning, and classical CV algorithms for liveness detection.
* Conduct research to support deployment of advanced algorithms.
* Develop, evolve, and support production-quality code.
* Deploy models as AWS SageMaker endpoints or directly onto devices.
* Stay updated with advancements in DL, CV, and biometric verification.
* Collaborate with engineers and product managers in an Agile environment.
Experience and Qualifications
* Bachelors or Master’s in CS, Data Science, ML, or related fields.
* 5+ years of commercial experience (or 2+ with Master’s) in CV or related areas.
* Strong proficiency in CV and deep learning techniques.
* Hands-on experience with PyTorch/TensorFlow, OpenCV, SKLearn, and production-grade
Python.
* Experience monitoring and maintaining ML models in production.
* Experience building, training, and deploying ML models.
* Strong communication and problem-solving skills.