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Tier-1 brand, mid-level ML role, metro location, and generalist requirements increase candidate competition.
Role requires core ML engineering experience, making background transferability limited across non-ML domains.
Explicit 3+ years, mandatory end-to-end ML experience and required ML frameworks increase filter strictness.
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Design, develop, and deploy scalable machine learning solutions to improve the distribution platform connecting travel supply and demand.
Drive system design including low-level design, API, and data modeling to support real-time and batch ML workflows.
Collaborate cross-functionally to integrate ML models with products and ensure robust, maintainable AI/ML-enabled systems.
Bachelor's degree in Computer Science or related technical field, or equivalent experience.
3+ years of relevant professional experience with end-to-end machine learning project ownership.
Proficiency in Python or Java and experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
Experience with AI/ML concepts applied to production systems and real-world products.
Experienced in scaling and operating reliable machine learning systems emphasizing performance and maintainability.
Skilled in designing ML systems for distributed, multi-service environments and implementing automated pipelines for model monitoring and retraining.
Knowledgeable in responsible AI practices including model fairness, interpretability, and compliance within products.