Machine Learning Engineer – Deepfake & Injection Attack Detection, Face Liveness

This is a fully remote position, open to applicants in Spain.

📋 Description

• Design, train, and implement machine learning models aimed at detecting image-based fraud, which includes deepfake detection, injection attack identification, and analysis of digital manipulations in biometric verification.

• Manage the entire machine learning lifecycle: from dataset curation, model development and training, to evaluation and refinement using fraud-specific metrics, culminating in production deployment and ongoing monitoring.

• Create strong data pipelines that encompass data validation, cleansing, and labeling techniques.

• Establish and carry out evaluation frameworks that emphasize real-world performance.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related discipline.

• Minimum of 2 years experience in deploying machine learning models in a production environment.

• Robust expertise in computer vision, particularly in image-based machine learning.

• Proficient programming abilities in Python.

• Practical experience with PyTorch and/or TensorFlow.

• Familiarity with real-world datasets and the construction of data pipelines.

🏝️ Benefits

• Competitive compensation package.

• Fully remote contract.

• Annual leave benefits.

• Home office allowance.

• Annual bonus potential of up to 10%.

• Health insurance coverage.

• Commitment to learning and development: We encourage continuous education and support role-specific development opportunities, including access to a complimentary LinkedIn Learning license.