Machine Learning Engineer - IV (Biometrics)
JumioIdentity Verification company
BangaloreSenior
Andreessen Horowitz
Citi Ventures
Centana Growth Partners
Great Hill Partners
Millennium Technology Value Partners
137 Ventures
Data & AI
About the role
TL;DR
Lead the design and scaling of face recognition systems in production.
- •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.
- •Key Responsibilities 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.
- •Production Engineering: Own the path to production.
- •Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS.
- •Requirements 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.
- •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).
Required skills
PythonPyTorchTensorFlowComputer VisionAWSEC2SageMakerEKSAirflow
Tech stack
PythonPyTorchTensorFlowJAXAirflowAWSEC2SageMakerEKS