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Tier-1 brand, mid-level ML role and metro location increase competition.
Requires specialized ML, generative AI, search and distributed-systems experience, so industry transferability is limited.
Explicit 6–9 years plus many mandatory ML, systems, and cloud skills make shortlisting stringent.
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Develop and optimize scalable machine learning models and generative AI solutions for search, recommendation, and content understanding across Adobe products.
Build and maintain end-to-end ML pipelines including data preprocessing, model training, deployment, and monitoring for real-time, large-scale content processing.
Collaborate with multi-functional teams to integrate ML models into production ensuring high performance, reliability, and drive innovation in language comprehension, computer vision, and multimodal learning.
6-9 years of industry experience building and deploying machine learning systems at scale.
Bachelor's degree or equivalent experience; advanced degree (e.g., Ph.D.) in Computer Science, Machine Learning, Data Science preferred.
Proficiency in Python for ML/AI and familiarity with ML frameworks such as TensorFlow or PyTorch.
Experience with large-scale data processing, search engine technologies, distributed systems (e.g., Kubernetes, Hadoop), and AWS.
Experienced in developing production-grade ML systems emphasizing real-time scalability and reliability across diverse content types.
Strong background in deploying generative AI and deep learning techniques in computer vision, natural language understanding, or multimodal AI.
Demonstrated ability to work cross-functionally translating customer needs into innovative, high-impact ML solutions within fast-paced, complex environments.