- Develop, maintain, and own key fraudulent CV models of Jumio, which shapes the whole fraud product offering of Jumio.

- Design and implement machine learning, deep learning, classical CV focused on fraud detection.

- Research to support the deployment of the advanced algorithms.

- Deploy models as AWS SageMaker endpoints or directly onto devices.

- Stay updated with the latest advancements in machine learning, deep learning, and computer vision by engaging with academic papers and attending industry conferences.

- Work collaboratively with other engineers and product managers in an Agile development environment.

Experience and Qualifications :

- Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.

- A minimum of 6+ years of commercial experience in the field of machine learning/deep learning, not including time spent studying (2 years with Masters).

Must have :

- Experience with training of DL models for deep fakes, synthetic data, or gen AI data detection.

- Deep understanding of how to convert ML metrics to product goals.

- Hands-on experience with PyTorch or TensorFlow, SKLearn, and in developing production-grade Python code.

- Demonstrated experience in implementing best practices for monitoring and maintaining ML models in production environments.

- Strong communication and problem-solving skills.

Great to have Experience and Qualifications :

- Experience in working with LLM or VLMs.

- Work with image or video generation.

- Experience with cloud environments - AWS / GCP.

- Experience in working in global organizations across several timezones