AI Engineer

Job Description 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।" 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. 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. 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. 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.