Senior Machine Learning Engineer

• Developing and maintaining high-performance, data-driven systems in a distributed infrastructure that impact our marketplace performance.
• Streamlining online serving of traditional ML enabling faster A/B tests and reducing go-to-market
• Enhancing our MLOps platform capabilities to support cutting edge AI algorithms
• Establishing ML Observability best practices enabling Self-healing system and automatic data drift detection
• Implementing and optimizing solutions to some of our most business critical problems as part of a cross functional team consisting of Data and Software Engineering professionals.
• Collaborating with other Machine Learning Engineers, Data Scientists and Data Platform Engineers to drive the state of MLOps in Marketplace and FreeNow.

Our Tech Stack: Python | Airflow | Java | Kubernetes | Kafka | Databricks | AWS & more

Do you have experience in Python?, 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?, * 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.

Freenow empowers smarter mobility decisions helping people to move freely and cities to thrive. The Freenow marketplace is a real-time, two-sided platform connecting riders and drivers. Its efficiency and scalability are powered by a sophisticated ecosystem of Machine Learning systems spanning key domains such as Pricing, Allocation, and Marketplace Fraud. In this role, you'll help advance the state of the art of our Marketplace MLOps platform, working on impactful use cases that shape not only our business but also the daily experiences of our users.