As the Director, AI/ML Technology and Architecture at one of the largest global Media & Entertainment companies, you will be at the forefront of leading cutting-edge AI and machine learning initiatives that redefine how our organization leverages technology to stay ahead in a fast-evolving industry....This position offers you the opportunity to work on impactful projects in a creative and dynamic environment where AI and ML are transforming the way content is produced and consumed globally....Qualifications & Experiences:
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:
• 1 2 + 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.