Machine Learning Engineer - IV (Computer Vision)

Jumio; United States; Remote; USD 140,000 - 220,000; Full time

Job summary

the company is a B2B technology company focused on online identity verification and biometric security. This role leads design and scaling of face recognition systems in production, building models and end-to-end ML pipelines on AWS.

You will mentor engineers, optimize models for low-latency inference and ensure fairness across datasets. Remote role with international collaboration across teams and clients.

Qualifications

• Extensive experience in ML for biometrics or face analysis.
• Proficiency in Python for ML and CV libraries.
• Experience with production ML systems and pipelines.

Responsibilities

• Lead design and scaling of computer vision biometrics systems.
• Train and deploy end-to-end ML pipelines on AWS.
• Develop automated data ingestion and cleaning pipelines with Airflow.
• Mentor engineers and perform code reviews.

Skills

Python

Machine Learning

Biometrics

Computer Vision

Communication

Tools

Pillow

OpenCV

PyTorch

TensorFlow

JAX

AWS SageMaker

TensorRT

ONNX

Airflow

Job description

Headquarters: India (remote)

Machine Learning Engineer IV – (Computer Vision)We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process.

What You’ll Do

• Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition)
• Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions.
• Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX
• Own and evolve end-to-end ML pipelines, from data ingestion to deployment.
• Design automated pipelines (Airflow) for data ingestion and cleaning.
• You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps.
• Production Engineering: Own the path to production.
• Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS.
• Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team.

What We’re Looking For

• Strong industry experience in Machine Learning, dedicated to Biometrics or Face Analysis.
• Deep expertise in computer vision and biometrics, especially face recognition.
• Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact.
• Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code.
• Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow.
• Cloud Native: Hands-on experience scaling training jobs on multi-GPU clusters and deploying services on AWS (SageMaker, EC2, EKS).
• Nice to HaveResearch Publications: Papers in CVPR, ICCV, ECCV, or FG related to face recognition, image quality assessment, or fairness.
• Large Scale Search: Experience with vector databases (e.g., Milvus, Faiss) and approximate nearest neighbor (ANN) search algorithms.
• Familiarity with privacy, security, and compliance in biometric systems.
• Mobile/Edge Experience: Experience porting models to edge or mobile devices utilizing frameworks such as CoreML, LiteRT, and/or TFLite.
• Synthetic Data: Experience using GANs or diffusion models to generate synthetic faces for training.
• Strong communication skills.

the company Values:

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

Equal Opportunities :

the company 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 the company:

the company 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.

the company 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 the company’s application, recruitment, and hiring processes, as described in the company’s Applicant Privacy Notice. If you have any questions or comments, please send an email to [e-mail] .