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Tier-1 brand, mid-level ML role, metro location, and broad technical requirements increase competition.
Role's specialized ML, search, and content-discovery focus reduces cross-industry transferability.
Explicit 6–9 years plus mandatory production ML, distributed systems, and tool experience makes shortlisting strict.
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Develop and optimize scalable machine learning models and generative AI solutions for search, recommendation, and content understanding across Adobe products.
Handle extensive data ingestion, search indexing, analytics, and distributed computing for real-time content processing involving billions of assets.
Integrate ML models into production systems ensuring high performance and reliability; mentor junior engineers and collaborate cross-functionally to drive innovative AI solutions.
Bachelor's degree or equivalent experience; advanced degree preferred (e.g., Ph.D. in Computer Science, Machine Learning, Data Science).
6–9 years of industry experience building and deploying machine learning systems at scale.
Strong proficiency in Python and familiarity with ML frameworks (TensorFlow, PyTorch), experience with AWS, search engine technology, and large-scale distributed systems (Kubernetes, Spark, Hadoop).
Practical experience with deep learning techniques (computer vision, natural language understanding, multimodal AI) and production-level ML solution delivery.
Experienced in engineering SaaS-based software and deploying ML solutions in large-scale real-time systems involving diverse content types.
Demonstrated ability in research and implementation of advanced techniques in language comprehension, computer vision, and multimodal learning for content discovery.
Skilled at collaborating with product teams to translate customer needs into scalable AI innovations, with mentoring and leadership experience in multi-functional environments.