OpenAirlines is a pioneering aviation industry company dedicated to creating innovative solutions that enhance operational efficiency and sustainability. By leveraging big data and advanced analytics, SkyBreathe® transforms operational data into actionable insights, enabling airlines to make smarter, greener decisions.
🔎Context of the role:
As a Machine Learning Engineer at OpenAirlines, you will play a role in our mission to revolutionize the aviation industry.
Integrated into the data science team, you will conduct the production deployment of data science-based features and lead the evolution of our data science platform to accelerate our developments with the data scientists.
Programming Languages: Python, SQL, (Java is a plus).
Data Science Tools: Pandas, polars, PyTorch, Scikit-learn, …
Infrastructure: Git, Docker, Google Cloud Platform, mlflow, kedro.
🏋️♂️Activities & Responsibilities:
Collaborate with the science et engineering team to translate business needs into innovative new functionalities in our SkyBreathe® softwares.
Design, put in production, and monitor new algorithms to better track the application of fuel savings initiatives.
Examples of projects you might be able to work on:
Find new ways for airlines to save fuel by defining, and modeling fuel best practices for pilots
Simulate the perfect flight reproducing flight dynamics with Machine Learning applied to time series
Smart insights helping our customers to dynamically identify improvements in their operations.