20 LPA( Salary Depends upon experience and your interview how it goes )
About the Role:
We are looking for an experienced
Data Scientist
with strong expertise in
signature verification, image processing, and machine learning
. The ideal candidate will design, develop, and deploy AI/ML models to verify handwritten and digital signatures with high accuracy and robustness. You'll work closely with engineering and product teams to implement scalable models for fraud detection and identity verification systems.
Key Responsibilities:
Develop and implement
machine learning models
for offline and online signature verification.
Apply
computer vision, deep learning, and feature extraction
techniques to analyze and authenticate signatures.
Work with datasets containing scanned or digital signatures to identify key biometric features.
Preprocess data (image cleaning, segmentation, augmentation) for model training and evaluation.
Evaluate model performance using metrics like
FAR (False Acceptance Rate)
,
FRR (False Rejection Rate)
, and
ROC-AUC
.
Collaborate with software engineers to integrate verification models into production systems.
Continuously optimize algorithms for scalability
, accuracy, and low latency.
Stay updated with research trends in signature
verification, handwriting analysis, and biometric AI.
Required Skills & Qualifications:
Bachelor's or Master's degree in
Computer Science, Data Science, AI/ML, or a related field
.
4+ years of experience as a
Data Scientist / ML Engineer
with focus on
image recognition or biometric systems
.
Strong hands-on experience with
Python
,
TensorFlow
,
PyTorch
,
OpenCV
,
Scikit-learn
, and related libraries.
Expertise in
CNNs, Siamese Networks, or Triplet Loss models
for verification tasks.
Good understanding of
image preprocessing
,
feature extraction
, and
data augmentation
.
Experience with
large datasets
, model training, and deployment in production environments.
Familiarity with
cloud platforms (AWS / Azure / GCP)
and
MLOps pipelines
.
Strong analytical thinking, communication, and documentation skills.
Job Type: Full-time
Pay: ₹800,000.00 - ₹1,992,279.19 per year
Work Location: In person
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