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Strong Tier-1 brand and Bengaluru metro increase competition among experienced ML engineers.
Core ML engineering skills are transferable, but Trust/risk specialization moderately increases domain specificity.
Explicit 7+ years, mandatory ML infra/tech stack and large-product experience make filters strict.
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Develop and maintain scalable AI/ML systems and data pipelines to detect and prevent online and offline fraud on Airbnb's platform.
Collaborate with cross-functional teams (engineers, product managers, data scientists) to prioritize AI/ML model requirements and quantify impact on trust and safety.
Lead technical vision and mentoring to build AI/ML infrastructure and continuously improve trust defenses against evolving fraud attack vectors.
7+ years industry experience in backend/platform engineering or equivalent, preferably with BE/B.Tech in CS or equivalent qualification.
Strong programming skills in Python, Java or equivalent, with solid data structures, algorithms, and data engineering foundations.
Experience with 3 or more: Tensorflow, PyTorch, Kubernetes, Spark, Airflow/Kubeflow, Kafka/Spark/Ray, Hive.
Experience working in large-scale tech product companies on real-world problems; familiarity with test driven development, A/B testing, and incremental deployment.
Experienced in building and productionizing end-to-end machine learning infrastructure and models at scale, including observability and automated alerting.
Comfortable operating in high-scale, complex software systems involving trust, risk, fraud detection, and real-time ML pipelines.
Skilled at collaborating across teams and leading technical efforts to strengthen AI/ML-driven trust defenses in dynamic fraud environments.