Develop, implement, and maintain machine learning models for pricing ancillary products like seats, bags, legroom, and paid fare upgrades.
Design, research, and implement the entire ML pipeline, from retraining to model deployment and monitoring.Continuously monitor and improve the productionized ML models, ensuring low-latency deployments and adherence to internal standards and best practices.Work within the Google Cloud Platform (GCP) ecosystem, leveraging tools such as BigQuery and the VertexAI suite for model development and deployment.
Utilize Terraform for infrastructure-as-code, Docker for containerization, and Github Actions for CI/CD pipelines, ensuring robust and scalable solutions.Lead the MLOps aspect within the team. (e.g. expertise in Terraform, CI/CD pipelines, testing, ML architecture design and optimisation.) Develop, implement, and maintain machine learning models for pricing ancillary products like seats, bags, legroom, and paid fare upgrades.
Design, research, and implement the entire ML pipeline, from retraining to model deployment and monitoring.Continuously monitor and improve the productionized ML models, ensuring low-latency deployments and adherence to internal standards and best practices.
Work within the Google Cloud Platform (GCP) ecosystem, leveraging tools such as BigQuery and the VertexAI suite for model development and deployment.Utilize Terraform for infrastructure-as-code, Docker for containerization, and Github Actions for CI/CD pipelines, ensuring robust and scalable solut