Senior Machine Learning Engineer - (Logistics, Optimization)
Core
Build and maintain scalable ML models and infrastructure to solve real-time vehicle routing problems, optimizing delivery logistics and efficiency for millions of users globally.
Role type
Senior Machine Learning Engineer (Logistics Optimization)
Builds
Real-time vehicle routing algorithms and scalable ML model services
Domain
Logistics, Transportation, Real-time Optimization
Deliverable
production ML models
Required skills
Python, ML engineering, MLOps, model serving, training, experimentation, feature engineering, statistics, probability, system design, PoC development, technology 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 lifecycle management; Leverage cloud infrastructure to build highly available systems; Proactively suggest new technologies and architectures for new use cases
Seniority
Senior, hands-on IC
