AI Architect

Key Responsibilities

Lead the design and development of an AI-based platform for video content protection,

anti-piracy detection, and secure monetization.

Define the technical roadmap and system architecture, ensuring scalability, security, and

performance.

Collaborate with cross-functional teams (engineering, data science, and legal) to

integrate AI solutions with the platform's overall architecture.

Leverage machine learning, deep learning, and natural language processing (NLP)

techniques to develop real-time piracy detection, automated takedown, and content

monitoring solutions.

Oversee the implementation of AI tools for digital rights management (DRM), forensic

watermarking, and AI-driven user behavior analytics.

Provide technical leadership in deploying AI technologies for both cloud-based and on-

premise environments.

Develop best practices for AI development, data handling, and AI model lifecycle

management.

Required Skills & Qualifications

Experience: 7
years of experience in AI/Client, with a minimum of 3 years in a similar

domain (content protection, media security, or anti-piracy).

AI/Client Expertise: Proficiency in machine learning frameworks (TensorFlow, PyTorch)

and experience with AI techniques like computer vision, NLP, and real-time monitoring.

Domain Expertise: Deep understanding of digital rights management (DRM), forensic

watermarking, and video content security solutions.

Cloud Technologies: Experience in deploying AI models on AWS, Azure, or Google

Cloud.

Programming: Strong proficiency in Python, R, or other AI-focused languages.

Familiarity with big data technologies like Hadoop and Spark is a plus.

Leadership: Strong leadership, communication, and collaboration skills, with experience

managing cross-functional teams.