AI Architect

3 days ago

Bengaluru, Karnataka, India StatusNeo Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Role Overview:

We are seeking an experienced
AI Architect
with deep expertise in
signature verification and validation
using AI/ML techniques. The ideal candidate will have a strong background in designing and deploying AI-driven solutions for image recognition, document forensics, and fraud detection, along with proven experience in leading AI architecture and strategy.

Key Responsibilities:

  • Architect, design, and implement AI/ML solutions for
    signature recognition, verification, and validation
    .
  • Work on advanced
    computer vision and image processing
    to extract and analyze signatures from scanned documents, IDs, cheques, and forms.
  • Apply deep learning and pattern recognition techniques to detect forgeries and validate genuine signatures.
  • Define AI architecture standards, frameworks, and best practices for large-scale deployments.
  • Collaborate with cross-functional teams, including compliance, product, and engineering, to align AI solutions with business and regulatory needs (KYC/AML).
  • Ensure scalability, accuracy, and performance optimization of deployed AI systems.
  • Provide technical leadership and mentorship to AI/ML teams.

Core Skills Required:

  • Signature verification and validation using AI/ML
    (mandatory).
  • Strong expertise in
    Python, TensorFlow, PyTorch, OpenCV, Scikit-learn
    .
  • Hands-on experience with
    OCR tools
    (Tesseract, Google Vision API, AWS Textract).
  • Proven experience in
    AI/ML model development, training, and deployment
    .
  • Knowledge of
    document forensics, fraud detection, and digital identity verification
    .
  • Strong architecture skills with ability to design scalable and secure AI solutions.

Preferred Skills:

  • Exposure to
    biometric systems
    and
    digital identity management
    .
  • Experience in
    banking, fintech, cybersecurity, or HR tech
    domains.
  • Familiarity with
    KYC/AML workflows and compliance requirements
    .
  • Knowledge of
    cloud platforms (AWS/GCP/Azure)
    and containerization (Docker/Kubernetes).

Educational Background:

  • Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or related field.

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