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Tier-1 brand, Bangalore metro, and broad ML/infra requirements increase candidate competition.
ML engineering skills are transferable, but Trust/risk and large-product experience increase domain specificity.
Explicit 7+ years, mandatory ML infra stack and large-product experience make shortlisting highly strict.
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Develop and enhance AI/ML systems to protect Airbnb community from online and offline fraud, ensuring platform safety.
Collaborate with cross-functional teams to identify business impact opportunities, refine AI/ML model requirements, and deliver scalable solutions.
Lead and mentor engineering teams while owning production deployment and operation of AI/ML pipelines at scale.
7+ years industry experience in backend/platform engineering; B.E./B.Tech in CS or equivalent qualification.
Strong programming skills in Python or Java; solid data structures, algorithms, and data engineering foundations.
Experience with at least 3 of: Tensorflow, PyTorch, Kubernetes, Spark, Airflow/Kubeflow, Kafka/Spark/Ray, Hive.
Work Experience Required: 7+ years in large tech product companies solving real world problems.
Experienced in building and productionizing end-to-end Machine Learning infrastructure and models with best practices (A/B testing, feature engineering).
Comfortable working with large-scale structured and unstructured data, real-time and batch AI/ML pipelines in dynamic high-scale environments.
Has operated within trust and risk or security domains and understands architectural patterns for scalable, high-volume data pipelines and APIs.