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Tier‑1 brand, mid‑level ML role, metro hiring and broad skill requirements amplify competition.
Core ML engineering skills are broadly transferable across industries despite travel-specific domain knowledge.
Explicit 3+ years plus mandatory production ML experience and framework expertise create strict screening filters.
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Design, deploy, and scale end-to-end machine learning models to improve distribution platform performance for travelers and partners.
Drive system and API design to support real-time and batch ML workflows ensuring robust and scalable architecture.
Collaborate cross-functionally to integrate ML systems with products, promote technical excellence, and maintain high-quality software delivery.
Bachelor’s degree in Computer Science or related technical field, or equivalent professional experience.
3+ years of relevant professional experience in machine learning engineering.
Proficiency in Python or Java and experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
Demonstrated ownership of machine learning projects, including data preprocessing, feature engineering, model deployment, and evaluation.
Experienced in operating machine learning solutions at scale with focus on reliability, performance, and maintainability.
Skilled in designing ML systems in multi-service environments and implementing automated monitoring, testing, and retraining pipelines.
Knowledgeable in responsible AI practices including model fairness, interpretability, and compliance within product environments.