Machine Learning Engineer IV (Fraud) Jumio Remote
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Salary: PKR Negotiable
Looking for remote jobs for Pakistanis in machine learning? Jumio, a global identity-verification and eKYC company, is hiring a Machine Learning Engineer IV for its Fraud team — a fully remote role you can apply to online from Pakistan. About the role: You will own and advance the fraud-detection models behind Jumio's identity-verification products. That means developing and maintaining key fraud computer-vision models, designing machine-learning, deep-learning and classical CV solutions focused on fraud detection, researching and deploying advanced algorithms, shipping models as AWS SageMaker endpoints or directly on devices, and staying current with the latest ML research. You will collaborate with engineers and product managers in an agile environment across time zones. What they are looking for: a bachelor's or master's degree in computer science, data science, machine learning or a related field; at least 6 years of commercial machine-learning and deep-learning experience; hands-on experience training deep-learning models for deepfake, synthetic-data or GenAI-data detection; a strong sense of how ML metrics translate into product goals; production-grade Python with PyTorch or TensorFlow and scikit-learn; proven practices for monitoring and maintaining ML models in production; strong communication and problem-solving skills. Nice to have: LLM/VLM experience, image or video generation work, AWS/GCP cloud experience, and experience working in global teams across time zones. Eligibility note: the official posting lists this role as "India (remote)". It was verified as a worldwide remote opening, but candidates based in Pakistan should confirm eligibility with Jumio when applying. Salary: not stated by the employer. Last date to apply: 9 November 2026.
What we're looking for:
- Bachelor's or master's in computer science, data science, ML or a related field
- 6+ years of commercial ML/deep-learning experience
- Hands-on training of deep-learning models for deepfake, synthetic or GenAI data detection
- Strong understanding of converting ML metrics into product goals
- Production-grade Python with PyTorch or TensorFlow, plus scikit-learn
- Experience monitoring and maintaining ML models in production
- Strong communication and problem-solving skills
Key Responsibilities & Deliverables:
- Develop, maintain and own Jumio's key fraud computer-vision models
- Design and implement ML, deep-learning and classical CV focused on fraud detection
- Research and support deployment of advanced fraud-detection algorithms
- Deploy models as AWS SageMaker endpoints or directly onto devices
- Stay current with the latest ML, deep-learning and computer-vision research
- Collaborate with engineers and product managers in an agile setup
Skills & Tools:
Position: Machine Learning Engineer IV (Fraud) Jumio Remote
Work: Remote
Salary: Market Competitive
Company: JUMIO
Work Location: Remote (Pakistan), Pakistan
Apply by sending your CV + profile through Jobswala.
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