Machine Learning Engineer - IV (Fraud)

Jumio is hiring a Machine Learning Engineer - IV (Fraud) for a remote role open to applicants in India. Level rates it ; you can apply on Jumio.

Level's read on this job

Level rates this machine learning engineer role Builds AI ●●●●: the job is building AI systems.
This is listed as a remote role.
The posting mentions PyTorch, TensorFlow and scikit-learn among its tools and skills.
Level classes it as a senior role.
Jumio has 16 other open roles on Level.

AI in this role

Develop and maintain state-of-the-art computer vision and deep learning models for fraud detection.

pytorchtensorflowscikit-learnsagemakerpythonsklearnaws-sagemaker

computer-vision

Role Purpose: The Machine Learning Engineer IV will play a critical role in advancing Jumio's Fraud team's mission to develop and enhance state-of-the-art solutions for fraud detection for ID verification purposes. This role is essential for ensuring the highest standards of security and user verification through the application of advanced machine learning and deep learning techniques, ultimately contributing to Jumio's leadership in the online identity verification, eKYC, and AML solutions market

Role Value: As a Machine Learning Engineer IV at Jumio, you will have the opportunity to significantly impact the security and user experience of our ID verification solutions. Your expertise in deep learning and computer vision will drive the development of innovative algorithms that keep Jumio at the forefront of the industry. By deploying and maintaining these models in production, you will ensure the robustness and reliability of our solutions, supporting our clients across diverse industries such as Financial Services, Travel, Sharing Economy, Fintech, and Gaming. Your contributions will be pivotal in maintaining Jumio's reputation as the leading provider of online identity verification solutions, helping to meet the growing demand for secure and seamless user verification globally.

Example Responsibilities

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 Master’s).
Must have: experience with training of DL models for deepfakes, 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’s or VLM’s.
Work with image or video generation.
Experience with cloud environments - AWS / GCP.
Experience in working in global organizations across several timezones

Jumio Values:

IDEAL: Integrity, Diversity, Empowerment, Accountability, Leading Innovation

Equal Opportunities:

Jumio is a collaboration of people with different ideas, strengths, interests and cultures. We welcome applications and colleagues from all backgrounds and of all statuses.

About Jumio:

Jumio is a B2B technology company dedicated to eradicating online identity fraud, money laundering and other financial crimes to help make the internet safer. We leverage AI, biometrics, machine learning, liveness detection and automation to create solutions that are trusted by leading brands worldwide and respected by industry thought leaders.

Jumio is the leading provider of online identity verification, eKYC and AML solutions. With a global footprint, we’re expanding the team to meet strong client demand across a range of industries including Financial Services, Travel, Sharing Economy, Fintech, Gaming, and others.

Applicant Data Privacy

We will only use your personal information in connection with Jumio’s application, recruitment, and hiring processes, as described in Jumio’s Applicant Privacy Notice. If you have any questions or comments, please send an email to privacy@jumio.com.

How we rate this

Machine Learning Engineer - IV (Fraud) at Jumio rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Machine Learning Engineer - IV (Fraud) is an open job at Jumio.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in India (remote) and is marked remote.
The job was posted on July 3, 2026.
Seniority: senior.
Applications are handled by Jumio. Apply on Jumio

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Computer visionPyTorchTensorFlowscikit-learnSageMakerPythonSklearnAWS SageMaker

Also common in machine learning engineer jobs at this level

C++Kubernetes Spark Fine-tuning MLOps Azure

Pay

Typical machine learning engineer job: $199k

This posting doesn't list pay. Use the typical machine learning engineer figure when pay comes up. See machine learning engineer jobs

Questions you could be asked

Walk me through a computer vision problem you solved, from raw data to a deployed model.
Walk me through how you've used PyTorch in your day-to-day work.
What are the limits of TensorFlow that you've run into, and how did you work around them?
What's a project where you used scikit-learn hands-on?
Walk me through how you've used SageMaker in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Computer vision, PyTorch, TensorFlow, scikit-learn, and SageMaker. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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