Senior Machine Learning Engineer
About This Role
KEY ACCOUNTABILITIES:
- Architect ML systems / end-to-end pipelines / scalable and production-ready solutions
- Lead model development/pricing and ranking algorithms / improved conversion and revenue yield
- Design forecasting solutions/demand and supply models / optimized inventory and occupancy planning
- Enhance risk models/fraud detection systems / reduce cancellations and policy violations
- Establish MLOps standards/deployment and monitoring frameworks / reliable and maintainable model operations
- Drive experimentation / A/B testing and validation frameworks / data-driven product improvements
- Collaborate cross-functionally / product, engineering, and data teams / aligned metrics and business impact
- Define data strategy/feature engineering and data sourcing / improved model performance and coverage
- Ensure model governance/data quality and integrity / trusted and compliant ML systems
- Mentor team members / technical guidance and best practices / elevated team capability and output quality
- Optimize model performance/tuning and retraining strategies / sustained accuracy and efficiency
- Evaluate new approaches/algorithms and technologies / continuous innovation and competitive advantage
- Communicate insights/model performance and impact / informed stakeholder decision-making.
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