Machine Learning Engineer – IV, Computer Vision

Jumio Corporation

Machine Learning Engineer focused on developing computer vision systems for biometric solutions at Jumio. Leading ML projects involving face recognition and model optimization on AWS.

Posted 7/20/2026full-timeRemote • 🇮🇳 IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates deep expertise in computer vision and biometrics, particularly in face recognition, while leading the design and development of ML pipelines. Proficient in optimizing models for production and mentoring engineering teams to uphold technical best practices.

Highest-signal resume keywords

Machine LearningComputer VisionBiometricsPython ProgrammingAWS Deployment

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Hard Skills

Face RecognitionModel OptimizationFairness AnalysisData Pipeline DesignQuantizationDistillationMulti-GPU ScalingAlgorithmic Bias MitigationProduction-Ready CodeAutomated Data Ingestion

Soft Skills

MentoringTechnical LeadershipCode ReviewCollaboration

Tools & Technologies

PyTorchTensorFlowJAXAirflowTensorRTONNXSageMakerEC2EKSOpenCV

Industry Keywords

Face AttributesDetectionQualityRecognitionDisparate ImpactEthics in AIData DiversityTraining SetsSynthetic DataLow-Latency Inference

Tech Stack

Tools & technologies

AirflowAWSCloudEC2PythonPyTorchTensorflow

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

Experience: 5+ years of industry experience in Machine Learning, with at least 3 years 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).

Benefits

Comp & perks

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.