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Tier-1 brand, metro location, and mid-level generalist experience amplify applicant competition.
Role demands ML production and multimodal expertise, making cross-industry transferability limited.
Explicit 5+ years, mandatory ML production experience and specific AWS/streaming stack increase filtering strictness.
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Own the design, development, and maintenance of multimodal AI pipelines extracting metadata from video, artwork, and text for Disney’s media products.
Develop and operate low-latency AI inference services integrated with AWS cloud services (SageMaker, Lambda, S3, Glue) and distributed processing frameworks for live and batch content processing.
Collaborate with data platform teams to ingest and enrich metadata, ensuring quality control, validation, governance, and operational excellence at scale.
Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field (or equivalent work experience).
Minimum of 5 years of backend or ML engineering experience including deploying AI/ML models in production, especially multimodal and Generative AI systems.
Strong expertise in Python and/or Java; experience with AWS services like SageMaker, Lambda, S3, Glue; and knowledge of real-time/batch processing frameworks.
Experience with ML lifecycle components including inference optimization, monitoring, versioning, plus integration into production APIs and workflows.
Experienced in building scalable AI/ML systems at the intersection of media content pipelines and large-scale distributed data platforms.
Comfortable working with multimodal AI, Generative AI, and modern cloud-native infrastructure with an emphasis on operational reliability and data governance.
Skilled in collaborating cross-functionally with data platform and engineering teams in a fast-paced product engineering environment focused on metadata intelligence and personalization.