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Tier-1 brand, Bangalore location, and broad ML infrastructure requirements increase competition.
Role favors candidates with large-product ML experience, making cross-industry transfers moderately sensitive.
Mandatory 7+ years, large-tech product experience, and specific ML infra/tool requirements imply high shortlisting strictness.
Develop, productionize, and maintain scalable AI/ML systems and pipelines targeting online and offline fraud detection to protect Airbnb's platform and community.
Collaborate cross-functionally with engineers, product managers, data scientists to drive AI/ML feature prioritization, model development, and engineering decisions with measurable business impact.
Lead and mentor engineering teams to cultivate an AI/ML engineering culture focused on trust and safety improvements.
7+ years industry experience in backend or platform engineering or equivalent with B.E/B.Tech in CS or equivalent qualification.
Strong programming skills in Python, Java, or equivalent; proficiency in data structures, algorithms, and data engineering fundamentals.
Experience with at least 3 of the following technologies: TensorFlow, PyTorch, Kubernetes, Spark, Airflow/Kubeflow, Kafka/Spark/Ray, Hive.
Experience working in large tech product companies building scalable software and production ML systems.
Experienced in end-to-end machine learning infrastructure including model training, serving, monitoring, and observability with automated alerting and SLOs.
Familiarity with ML best practices such as handling training/serving skew, A/B testing, feature/model selection, and algorithms including gradient boosted trees and neural networks.
Background or experience in Trust and Risk domain within large scale, high-volume platforms solving real-world fraud and safety challenges.