Role overview
- You are experienced in training, deploying, serving and observing Statistical/Machine Learning models on large-scale datasets in production.
- You have experience developing and maintaining high throughput microservices in a production environment
- You have experience with Model registry, experiment tracking ideally via MLFlow among other data manipulation and machine learning libraries
- You excel as a team player, and an avid learner, with a proven capacity to collaborate seamlessly with diverse teams, including those in data, tech, and product, as well as other stakeholders.
- You can communicate in English. We are a very diverse team with people from all over the world and English is our language of communication, besides Python.
- You are passionate about harnessing Artificial Intelligence and have the will to play an essential role in the future of urban transportation.
- Experience with streaming technologies and real-time data processing (e.g., Kafka Streams, Apache Flink) is a plus.
What you'll work on
Be ready to work in a multinational, diverse, highly motivated and collaborative team of passionate developers who strive for excellence and like to have fun. Are you ready for your next ride?
Tags & focus areas
Used for matching and alerts on DevFound Machine Learning Mlops Ai