3 months ago
Remote, IndiaStaff+
Responsibilities
- Lead the design and development of computer vision systems for biometric face attributes, detection, quality assessment, and recognition.
- Conduct fairness analysis and benchmarking across datasets and operating conditions, and measure and mitigate disparate impact.
- Architect, train, and optimize models using PyTorch, TensorFlow, and/or JAX.
- Own end-to-end ML pipelines from data ingestion through training and deployment, including automated Airflow pipelines for ingestion and cleaning.
- Curate balanced training datasets and generate synthetic data to address quality and diversity gaps.
- Optimize models for low-latency inference using quantization, distillation, TensorRT, and ONNX, and manage deployment on AWS.
- Scale training jobs on multi-GPU clusters and deploy production services.
- Mentor ML engineers, conduct code and design reviews, and drive technical practices across the Computer Vision team.
Requirements
- 5+ years of industry experience in machine learning, including at least 3 years dedicated to biometrics or face analysis.
- Deep expertise in computer vision and biometrics, especially face recognition.
- Practical experience identifying, measuring, and mitigating algorithmic bias and disparate impact in computer vision.
- Expert Python proficiency with machine learning and vision libraries such as Pillow, OpenCV, and PyTorch, and experience writing production-ready code.
- Experience designing end-to-end ML pipelines and working with workflow orchestrators such as Airflow.
- Hands-on experience scaling training on multi-GPU clusters and deploying services on AWS, including SageMaker, EC2, and EKS.
- Preferred experience with research publications in CVPR, ICCV, ECCV, or FG; vector databases such as Milvus or Faiss; approximate nearest neighbor search; biometric privacy, security, and compliance; CoreML, LiteRT, or TFLite; GANs or diffusion models; and synthetic face generation.
- Strong communication skills.
Categories
About Jumio
Jumio builds identity verification, document verification, and KYC solutions for enterprises, delivered via APIs and web workflows to reduce fraud and meet compliance. Privately held and founded in 2015 with headquarters in Jaipur, India, it verifies government-issued IDs and biometrics with liveness checks from 200+ countries, serving sectors such as financial services, fintech, e-commerce, and online gaming.