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LENS Corporation
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Artificial Intelligence Engineer

Artificial Intelligence Engineer

LENS Corporation

4 years

0 Lacs

gurugram haryana india

Posted:23 hours ago| Platform:

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Skills Required

ai vision design cutting recognition research learning algorithms networks verification security nist drive model optimization inference onnx engineering authentication ml development pytorch tensorflow opencv docker kubernetes rest data encryption compliance training cuda compensation collaborative

Work Mode

On-site

Job Type

Full Time

Job Description

About Us

AI, Computer Vision, and Cloud-native solutions

Role Overview

AI Research Engineer (Biometrics)

Key Responsibilities

Lead the research, design, and implementation of algorithms for
biometric recognition
(face, fingerprint, iris, gait, multimodal).
Develop and optimize
deep learning models
(CNNs, transformers, Siamese/Triplet networks) for biometric verification and large-scale identity matching.
Implement
liveness detection and anti-spoofing solutions
(PAD techniques) for high-security use cases.
Evaluate biometric systems using
FAR, FRR, EER, ROC/DET curves
, and benchmark against NIST/ISO standards.
Drive
model optimization for real-time inference and edge deployment
(TensorRT, ONNX, pruning, quantization).
Collaborate with engineering teams to integrate biometric AI into products such as
VMS, access control, and authentication systems
.
Stay ahead of research trends in
biometric AI, generative adversarial techniques, and privacy-preserving AI
.

Requirements

Bachelor’s/Master’s degree in Computer Science, AI/ML, or related fields (Ph.D. a plus).
4+ years of professional experience
in AI/ML development with a focus on
biometrics and computer vision
.
Expertise in
Python
and frameworks such as
PyTorch/TensorFlow/Keras
.
Strong knowledge of
embedding-based recognition systems
(ArcFace, CosFace, SphereFace, etc.) and metric learning.
Hands-on with
OpenCV/DLib
and classical computer vision fundamentals.
Proven experience deploying AI models in production (Docker, Kubernetes, REST APIs, cloud).
Strong grasp of
data privacy, encryption, and secure biometric handling
.
Preferred
Publications in biometrics/AI/CV conferences (IJCB, ICB, CVPR, ICCV, ECCV, NeurIPS).
Familiarity with
biometric compliance standards
(ISO/IEC 19794, NIST FRVT, FIDO).
Experience training models on
large-scale datasets
with distributed systems.
Exposure to
GPU acceleration (CUDA, TensorRT, OpenCL)
.

What We Offer

Competitive compensation package.
Opportunities to work on
high-impact national-scale biometric projects
.
Direct ownership of projects with visible outcomes.
A collaborative, fast-paced environment at the intersection of
research and deployment
.

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