Senior Machine Learning Engineer
Core
Design, build, and productionize machine learning systems to solve supply and demand challenges, optimize logistics algorithms, and improve decision-making processes for a global online delivery platform.
Role type
Senior Machine Learning Engineer (Logistics)
Builds
Real-time ML pipelines, forecasting models, pricing solutions, and logistics optimization algorithms for delivery operations.
Domain
Food delivery technology and logistics optimization
Deliverable
production ML models
Required skills
Machine Learning, Python, real-time data streaming, microservices, event-driven architecture, serverless computing, cloud architecture, Kubernetes
Preferred skills
Airflow, Mlflow, Docker, Flink, scaling ML solutions to millions of requests/day
Technologies
Python, Amazon Web Services, Google Cloud Platform, Kubernetes, Airflow, Mlflow, Docker, Flink
Responsibilities
Research and implement innovative ML techniques for logistics problems; scale and transfer novel ML solutions to product use cases; implement and launch Data Science applications coordinating with front-facing solutions; build tools, data pipelines, and evaluation frameworks for ML development and iteration.
Seniority
Senior, hands-on IC
