Machine Learning Engineer - IV (Biometrics)
Jumio
IndiaremotePosted 1 month ago
Skill Required
Machine-Learning-EngineerComputer-Vision-EngineerBiometrics-EngineerFace-Recognition-EngineerAI-EngineerBiometrics-ML-EngineerSr.-Staff-Machine-Learning-EngineerSenior-Staff-Machine-Learning-EngineerStaff-Machine-Learning-EngineerLead-Machine-Learning-EngineerMachine-Learning-Engineer-JobsSenior-AI-ML-EngineerBiometric-Security-EngineerMachine Learning EngineerMachine LearningComputer VisionEngineeringTensorFlowautomationData StructuresdesigningMLflowsecurityPyTorchAirflowfintechPythondesignRAGAWSandAIFulltime
Key highlights
- 5+ years of Machine Learning experience (minimum 3 years in Biometrics/Face Analysis)
- Deep expertise in computer vision and face recognition
- Hands‑on experience scaling training jobs on multi‑GPU clusters and deploying on AWS (SageMaker, EC2, EKS)
- Lead end‑to‑end ML pipeline design and production deployment
- Focus on fairness analysis and mitigation of algorithmic bias
- Mentorship and technical leadership responsibilities within the Computer Vision team
Role overview
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. The role involves building and training models and owning ML systems end‑to‑end on AWS, with the final job level determined after the interview process.
Responsibilities
- Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition)
- Conduct 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
- Curate balanced training sets and generate 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
- 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
- Understanding of sources of algorithmic bias in Computer Vision and practical experience measuring and mitigating disparate impact
- Expert proficiency in Python (including vision libraries such as Pillow, OpenCV, PyTorch, etc.) and ability to write clean, modular, production‑ready code
- Experience designing end‑to‑end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow
- Hands‑on experience scaling training jobs on multi‑GPU clusters and deploying services on AWS (SageMaker, EC2, EKS)
Nice to have
- Research publications: papers in CVPR, ICCV, ECCV, or FG related to face recognition, image quality assessment, or fairness
- 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: porting models to edge or mobile devices using frameworks such as CoreML, LiteRT, and/or TFLite
- Experience using GANs or diffusion models to generate synthetic faces for training
- Strong communication skills
Additional details
- Jumio Values: IDEAL – Integrity, Diversity, Empowerment, Accountability, Leading Innovation
- Equal Opportunities: Jumio welcomes applications and colleagues from all backgrounds and of all statuses.
- About Jumio: A B2B technology company dedicated to eradicating online identity fraud, money laundering and other financial crimes, leveraging AI, biometrics, machine learning, liveness detection and automation.
- Jumio is the leading provider of online identity verification, eKYC and AML solutions with a global footprint, expanding to meet strong client demand across Financial Services, Travel, Sharing Economy, Fintech, Gaming, and other industries.
- Applicant Data Privacy: Personal information will only be used in connection with Jumio’s application, recruitment, and hiring processes as described in the Applicant Privacy Notice.
- Originally posted on Himalayas