Machine Learning Engineer - IV (Biometrics)

Jumio Corporation; India; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

A leading technology company in India seeks a Staff/Senior Machine Learning Engineer to develop and scale face recognition systems. The ideal candidate will have over 5 years of experience in ML, focusing on biometrics. Responsibilities include leading design projects, conducting fairness analyses, and mentoring engineers. Expertise in Python, computer vision technologies, and end-to-end ML pipeline design is essential. This role offers opportunities for innovation and career development in a dynamic environment.

Qualifications

• 5+ years of industry experience in Machine Learning with expertise in Biometrics.
• Proficient in Python and related vision libraries.
• Experience in designing end-to-end ML pipelines on AWS.

Responsibilities

• Lead the design of computer vision systems for biometrics.
• Conduct fairness analysis of biometric models.
• Mentor ML engineers and drive best practices.

Skills

Machine Learning

Computer Vision

Biometrics

Python

Model Optimization

Tools

PyTorch

TensorFlow

JAX

Airflow

OpenCV

Job description

Role Purpose

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).
• 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 quality and diversity gaps.
• 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

• 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 algorithmic bias in Computer Vision and practical experience measuring and mitigating disparate impact.
• Expert proficiency in Python and vision libraries such as Pillow, OpenCV, PyTorch, etc. 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 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.
• Experience porting models to edge or mobile devices using CoreML, LiteRT, and/or TFLite.
• Experience using GANs or diffusion models to generate synthetic faces for training.
• Strong communication skills.

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.