Production ML Engineer – Azure & MLOps

Scandinavian Airlines System (SAS); Solna kommun; On-site; SEK 700,000 - 900,000; Full time

Job summary

Scandinavian Airlines System SAS is hiring a Machine Learning Engineer in Solna to design, deploy, and maintain production ML solutions. You will collaborate with data scientists, data engineers, and AI engineers to bring models from development into production and monitor performance at scale.

Join SAS to help expand ML platforms, automation, and Generative AI capabilities as part of our Digital & IT transformation.

Qualifications

• Master's degree in a related technical field.
• 2-5 years of experience in Machine Learning Engineering, MLOps, or a related role.
• Experience deploying and operating production ML solutions.
• Hands-on experience with Azure ML, Azure Databricks, and Azure Data Factory.

Responsibilities

• Design, develop, test, deploy and monitor end-to-end ML pipelines in Azure.
• Apply MLOps best practices to ensure quality and reliability of ML solutions.
• Monitor model performance and address drift/reliability issues.
• Automate model training, deployment, and retraining processes.
• Contribute to ML engineering best practices, documentation, and deployment.
• Collaborate with Data Eng and IT to ensure scalable, secure solutions.
• Help develop CI/CD processes for ML apps.
• Troubleshoot production ML systems and stay updated on AI developments.

Skills

Python

SQL

Git

Bash

API deployment

Model evaluation

CI/CD

Generative AI

ML experimentation

Big data tooling

Education

Master's Degree in Computer Science, Engineering, Machine Learning, Mathematics, or related field

Tools

Azure ML

Azure Databricks

Azure Data Factory

Terraform

Job description

Scandinavian Airlines System SAS is hiring a Machine Learning Engineer in Solna to design, deploy, and maintain production ML solutions. You will collaborate with data scientists, data engineers, and AI engineers to bring models from development into production and monitor performance at scale.

Join SAS to help expand ML platforms, automation, and Generative AI capabilities as part of our Digital & IT transformation.