Senior Machine Learning Engineer - (Logistics, Optimization)
Core
Build and maintain scalable ML models and services to solve real-time vehicle routing problems, optimizing logistics performance and efficiency for millions of users.
Role type
Senior Machine Learning Engineer (Logistics Optimization)
Builds
Real-time vehicle routing algorithms and dispatch systems
Domain
Logistics, Transportation, Cloud Infrastructure
Deliverable
production ML models
Required skills
ML engineering, MLOps, Python, statistics, probability, system design, tech evaluation
Preferred skills
Metaflow, Airflow, MLflow, Argo Workflows, AWS, Google Cloud, CI/CD, Terraform, Docker, Kubernetes, Helm
Technologies
Python, AWS, Google Cloud, Docker, Kubernetes, Helm, Terraform, Airflow, MLflow, Metaflow, Argo Workflows
Responsibilities
Design and build scalable ML model services; Build infrastructure for critical model inputs; Collaborate with data scientists and engineers to build scalable solutions; Develop ML engineering tooling for model development, monitoring, serving, and experimentation; Leverage cloud infrastructure to build highly available systems; Proactively suggest new technologies and architectures for new use cases
Seniority
Senior, hands-on IC
