Senior MLOps Engineer
Join an AI-focused modeling team building production-ready demand models, scalable data pipelines, and reliable machine learning systems for pricing and forecasting workflows.
Responsibilities
- Build and maintain machine learning models and data pipelines
- Support data science workflows for model training and inference
- Process structured and unstructured data from multiple sources
- Improve the accuracy, consistency, and efficiency of modeling data
- Design robust and scalable machine learning infrastructure
- Write and maintain production-grade machine learning systems
Requirements
- Bachelor’s or master’s degree in computer science, mathematics, or engineering
- At least 5 years of commercial Python experience
- At least 3 years of commercial hands-on MLOps experience
- Experience with pipeline orchestrators such as Dagster or Airflow
- Experience with distributed computing systems
- Experience with Docker and Kubernetes or other scalable containerized solutions
- Commercial experience writing and maintaining scalable machine learning systems
- Fluent written and spoken English
- Collaborative approach and willingness to support teammates
Nice to have
- Understanding of data structures and algorithms
- Proactive approach to improving processes and solutions
- Aviation industry experience