Senior Machine Learning Engineer, Personalisation & Pricing
Compensation: $225K + equity
Location: USA Remote
Join a fast-growing SaaS innovator transforming how global travel companies optimize revenue through intelligent automation and real-time analytics.
We’re working with a category-defining platform that empowers the hospitality sector with advanced AI-driven pricing solutions. As they continue to scale, they’re looking to backfill a key Senior ML Engineer role driving production-grade ML infrastructure and model deployment across dynamic pricing systems.
What You’ll Do
- Own and evolve the machine learning platform, from experimentation to deployment
- Collaborate with data scientists and engineers to productionize models
- Build robust data pipelines and scalable infrastructure for real-time ML applications
- Champion best practices in testing, observability, and MLOps
What You’ll Bring
- 5+ years of experience as an ML or MLOps engineer
- Strong Python and cloud infrastructure (AWS, GCP, or similar)
- Experience deploying ML models in production
- Familiarity with CI/CD, containers, and orchestration frameworks (e.g., Airflow, Kubernetes)
Tech Stack
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Python, Airflow, Docker, Kubernetes, AWS, Terraform, MLflow, PyTorch/TensorFlow
Why Join?
- Be part of a mission-driven team shaping next-gen revenue intelligence
- High-impact, high-visibility role in a lean, technically strong org
- Work across the full ML lifecycle on real-world optimization problems
