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Machine Learning Engineer (Deepfake & Injection Attack Detection / Face Liveness )

3 months ago
Spain
Full-time
Junior
Machine Learning Engineer
Software Development
AWS CI/CD Computer Vision Docker Generative AI Machine Learning OpenCV Pandas Python PyTorch Scikit-learn TensorFlow
Apply Now
Mitek Systems

Mitek Systems

Mitek Systems develops and provides mobile capture and identity verification software solutions that enable enterprises to securely verify user identities and facilitate transactions through mobile devices, enhancing customer experiences while preventi...

Communications Equipment
251-1K
Founded 1985
View All Jobs 6

Description

  • Design, train, and deploy machine learning models for image-based fraud detection.
  • Develop models for deepfake detection, injection attack detection, and digital manipulation analysis in biometric verification.
  • Work end-to-end across the machine learning lifecycle, from dataset curation through production deployment and monitoring.
  • Build data pipelines for validation, cleaning, labeling, and preparation of large-scale adversarial datasets.
  • Address class imbalance, bias, and distribution shift in real-world fraud datasets.
  • Define and run evaluation frameworks focused on precision/recall trade-offs, false positive balance, and robustness to unseen attack types.
  • Collaborate with fraud and AI research teams, data collection and annotation teams, MLOps, platform engineering, and product teams.
  • Contribute to production ML systems by improving scalability, reliability, monitoring, and performance tracking.
  • Continuously improve models and systems to keep pace with evolving fraud threats.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • 2+ years of experience deploying machine learning models into production.
  • Strong background in computer vision or image-based machine learning.
  • Solid programming skills in Python.
  • Hands-on experience with PyTorch and/or TensorFlow.
  • Experience working with real-world datasets and building data pipelines.
  • Experience with AWS and cloud-based ML pipelines.
  • Experience with Scikit-learn, Pandas, and OpenCV.
  • Experience with Docker and CI/CD workflows.
  • Advanced degree or equivalent experience in Machine Learning or Computer Vision is preferred.
  • Experience in fraud detection or adversarial ML domains is preferred.
  • Experience with deepfake detection, image forensics, or manipulation detection is preferred.
  • Familiarity with generative AI models is preferred.
  • Background in data science or data engineering is preferred.

Benefits

  • Competitive compensation package with a salary range of €50,000 to €75,000 per year.
  • Full remote contract.
  • Working model remote within Spain, with occasional in-person collaboration.
  • Annual leave.
  • Home office allowance.
  • Annual bonus of up to 10%.
  • Health insurance.
  • Learning and development support, including a complimentary LinkedIn Learning license.

Interested in this position?

Apply directly on the company website

Apply Now

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