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AI Engineer

2 weeks ago

Jaipur, Rajasthan, India Brainbucks Full time ₹ 9,00,000 - ₹ 12,00,000 per year

Job Description

Position Title:
AI Engineer (Computer Vision & Anomaly Detection)
Department:
Technology
Location:
Jaipur, Rajasthan
Reports To:
Chief Technology Officer (CTO)
Employment Type:
Full-Time

1. Company Overview

BrainBucks is a Jaipur-based, venture-backed EdTech startup on a mission to solve one of India's most critical challenges: the "Distraction Economy." While millions of students aspire to crack competitive exams, their time is being consumed by addictive betting and gambling apps. We are building a
constructive alternative
—an Educational Competition Platform that makes learning a rewarding habit. Backed by prominent investors and recognized by the Microsoft for Startups program, we are creating a productive digital ecosystem for the youth of 'Bharat'. Our philosophy is simple:
"ब्रेनबक्स की आदत अच्छी है।"

2. Job Purpose

The AI Engineer will be a foundational member of the team responsible for building
TAPTEC AI
, our proprietary, multi-layered AI-powered proctoring system. The entire integrity and value proposition of BrainBucks rests on this system's ability to ensure a fair, secure, and cheat-proof environment for millions of users. This role is central to developing the core technology that guarantees a win on our platform is a verifiable testament to a student's skill.

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.