Fullstack Machine Learning Engineer

Role:

• Build and maintain scalable data pipelines on GCP using DBT, BigQuery, Dataflow, Pub/Sub, and Cloud Composer.

• Perform data wrangling, cleaning, and preprocessing to prepare high quality datasets for analytics and ML.

• Develop reliable data models and transformation workflows using dbt.

• Ensure data quality, monitoring, and performance across datasets and pipelines.

• Build and deploy ML workflows using Vertex AI, from training to production.

• Collaborate with cross functional teams to design scalable data and ML architectures.

• Collaborate with Data Scientists, ML Engineers, and Product Managers to enhance the performance and reliability of the underlying Data and AI solutions.

• Implement MLOps best practices for seamless deployment, monitoring, and maintenance of ML models.

Essential requirements:

• Strong experience with GCP tools (BigQuery, Dataflow, Pub/Sub, GCS, Cloud Composer).

• Hands on with dbt and strong SQL skills.

• Knowledge of ELT/ETL patterns, data modeling, and data quality practices.

• Experience with Vertex AI (training, pipelines, deployment)

• Proficiency in Python and building production ML pipelines.

• Proficiency of MLOps fundamentals and basic CI/CD.

• Experience with Docker and cloud native development.

• Good understanding of distributed systems and scalable architecture.

Please explain how you meet all the requirements when applying.

Utilization: 100%

Location: Stockholm

Period: 19-04-2026-31-10-2026

Last day to apply: 07-04-2026

We present regularly. This means that we sometimes remove the assignements from our website before the final application deadline. If you are interested in an assignement, we recommend that you submit your application as soon as possible.