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Tier-1 brand, general ML title, and Bangalore metro drive high applicant density.
Core ML skills transfer across industries, but content-specific GenAI and vision needs increase sensitivity.
Mandatory 7+ years, MS required, and specific GenAI/Vision plus production experience create strict filters.
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Design and implement advanced ML and Generative AI models for content knowledge platforms impacting millions of users.
Build and maintain deep learning models for tasks like entity matching, data deduplication, visual similarity, and content tagging.
Develop KPI frameworks to measure model performance and ensure systems meet quality, security, and stability standards.
7+ years applying Machine Learning and Generative AI at large scale.
MS in Computer Science, Statistics, or related field required; Ph.D. preferred.
Strong expertise in ML fundamentals (generative models, transformers, tree-based, sequence models) and proficiency with NLP and Vision model architectures.
Experience with big data technologies (Spark, Kafka, EMR, Flink, Airflow) and programming in Java, Scala, or Python.
Experienced in building and shipping production ML systems involving Generative AI and Vision models.
Strong background in scalable system architecture and big data pipeline development for high-throughput environments.
Able to collaborate cross-functionally and improve existing systems continuously through data-driven solutions.