AI Architect

Role Overview:

AI Architect

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.