Machine Learning Engineer IV (Biometrics) – Jumio (Remote, India)
Jumio
Remote (India)
Not Disclosed
Posted on October 27, 2026
Job Overview
About the role
Jumio provides online identity verification, eKYC and anti-money-laundering tools that use AI and biometrics to stop fraud. This senior or staff-level ML role leads the design and scaling of face recognition systems that run in production on AWS. The final level is decided after the interviews.
What you will do
- Design computer vision models for face detection, quality, attributes and recognition
- Test biometric models for fairness and benchmark them across datasets and conditions
- Train and tune models in PyTorch, TensorFlow or JAX and build Airflow data pipelines
- Curate balanced training data and create synthetic data to fill gaps
- Optimise models for fast inference, deploy on AWS and mentor other ML engineers
Who can apply
- 5+ years in machine learning, with at least 3 years in biometrics or face analysis
- Strong Python with OpenCV, Pillow and PyTorch, writing production-quality code
- Experience with end-to-end ML pipelines and multi-GPU training on AWS (SageMaker, EC2, EKS)
- Understanding of bias in computer vision and how to measure and reduce it
Work from home details
The job is listed as India (remote). No specific shift or travel is mentioned in the posting.
How to apply
Click Apply Now to apply on the official Jumio careers page. Nishulk4U never charges any fee for job applications.
Jumio provides online identity verification, eKYC and anti-money-laundering tools that use AI and biometrics to stop fraud. This senior or staff-level ML role leads the design and scaling of face recognition systems that run in production on AWS. The final level is decided after the interviews.
What you will do
- Design computer vision models for face detection, quality, attributes and recognition
- Test biometric models for fairness and benchmark them across datasets and conditions
- Train and tune models in PyTorch, TensorFlow or JAX and build Airflow data pipelines
- Curate balanced training data and create synthetic data to fill gaps
- Optimise models for fast inference, deploy on AWS and mentor other ML engineers
Who can apply
- 5+ years in machine learning, with at least 3 years in biometrics or face analysis
- Strong Python with OpenCV, Pillow and PyTorch, writing production-quality code
- Experience with end-to-end ML pipelines and multi-GPU training on AWS (SageMaker, EC2, EKS)
- Understanding of bias in computer vision and how to measure and reduce it
Work from home details
The job is listed as India (remote). No specific shift or travel is mentioned in the posting.
How to apply
Click Apply Now to apply on the official Jumio careers page. Nishulk4U never charges any fee for job applications.