Academic Qualifications: 

• Master’s or Ph.D. degree in Computer Science, Engineering, Data Science, Mathematics, or a related technical field from a recognized university. 

• Specialized certifications or training in AI, Machine Learning, Deep Learning, or similar areas are a plus. 

Professional Experience: 

• 12+ years of experience in AI/ML technologies, with at least 8+ years in a leadership role overseeing large-scale AI/ML projects and teams. 

• Proven experience in leading AI/ML architecture design, deployment, and optimization in enterprise-scale environments, preferably within a Media & Entertainment or similar high-tech industry. 

• Strong track record of implementing cloud-based AI solutions (AWS, Azure, GCP) and experience with AI/ML frameworks (TensorFlow, PyTorch, Keras, etc.). 

• Extensive experience in building, scaling, and maintaining AI platforms, machine learning models, and data architectures. 

• Expertise in integrating AI/ML technologies with business processes, including content management, user analytics, and personalized recommendations. 

Technical Skills: 

• Expertise in AI/ML model development, architecture design, and advanced analytics. 

• Deep understanding of cloud-native AI technologies, big data systems, and distributed computing. 

• Experience with AI model deployment pipelines, continuous integration, and delivery (CI/CD). 

• Proficiency in multiple programming languages (Python, Java, C++, etc.) and machine learning libraries. 

• In-depth knowledge of data engineering, data pipelines, and data lake architecture.