AI Engineer (Computer Vision & Anomaly Detection)

Position Title:

1. Company Overview

constructive alternative

2. Job Purpose

TAPTEC AI

3. Key Responsibilities

The successful candidate will be responsible for the end-to-end design, development, and deployment of the machine learning models that power TAPTEC AI. Key duties include:

• Real-time Audio-Visual Monitoring:

• Develop and optimize computer vision models for

  facial recognition

  (to verify the test-taker),

  gaze tracking

  (to detect when a user is looking away), and

  multi-face detection

  .
• Implement and train algorithms for

  human speech detection

  and analysis from microphone input to flag potential unauthorized assistance.

• Behavioral & Anomaly Detection:

• Design and implement models to analyze user behavior patterns, such as unusual response times, suspicious keyboard/mouse activity, and other digital anomalies.
• Create and refine a robust anomaly detection system that can accurately flag and score potentially fraudulent behavior for review while minimizing false positives.

• System Integration & Performance:

• Collaborate with the backend engineering team to integrate ML models into a scalable, low-latency production environment on Microsoft Azure.
• Conduct continuous research, testing, and iteration to improve the accuracy, efficiency, and robustness of the TAPTEC AI engine.

4. Qualifications & Skills

Required:

• Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related engineering field.
• A minimum of 3 years of hands-on experience building and deploying machine learning and deep learning models in a live production environment.
• Expert proficiency in

  Python

  and its core data science libraries (NumPy, Pandas, Scikit-learn).
• Deep, practical experience with modern ML frameworks such as

  TensorFlow

  or

  PyTorch

  .
• Demonstrable experience in

  Computer Vision

  using libraries like

  OpenCV

  , with a portfolio of projects in image classification, object detection, or facial analysis.
• Experience with deploying and managing models on cloud platforms (preferably

  Azure

  ).

Preferred:

• A PhD in a relevant field is a plus.
• Familiarity with data engineering pipelines and MLOps principles.
• A problem-solving mindset with a passion for tackling complex, open-ended challenges.
• A self-starter who demonstrates strong ownership and the ability to drive a project from concept to completion.

5. What We Offer

• A unique opportunity to build a cutting-edge AI system that matters, directly contributing to a skilled and empowered India.
• A high-growth, fast-paced startup environment with significant opportunities for career advancement and leadership.
• Competitive compensation package including meaningful equity.
• The backing and validation of top-tier angel investors and global technology partners like Microsoft.