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.
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