Konsultuppdrag | Full Stack Machine Learning Engineer With A Strong Foundation In Data Engineering (senior-expert)
Senterprise
Stockholm, Sweden
On-site
Google cloud platform tools
Dbt for data transformation
Production ml pipelines with vertex ai
We are seeking a Full Stack Machine Learning Engineer with a strong foundation in data engineering to build and operate the data and ML infrastructure that powers our AI driven products
Job Summary
We are seeking a Full Stack Machine Learning Engineer with a strong foundation in data engineering to build and operate the data and ML infrastructure that powers our AI driven products.
This role blends advanced Data Engineering and Machine Learning Engineering responsibilities, with a heavy focus on delivering reliable, scalable, and high quality data pipeline foundations on Google Cloud Platform.
You will collaborate closely with data scientists, machine learning engineers to create end to end systems that are production ready, maintainable, and cost efficient.
Matching Summary
We are seeking a Full Stack Machine Learning Engineer with a strong foundation in data engineering to build and operate the data and ML infrastructure that powers our AI driven products.
Skills & Requirements
Must-have
Google Cloud Platform tools
dbt for data transformation
Production ML pipelines with Vertex AI
Data pipeline development and maintenance
MLOps best practices implementation
Strong SQL and Python skills
Nice-to-have
Cloud native development with Docker
Distributed systems and scalable architecture
Collaboration with cross functional teams
Key Requirements
Experience with GCP tools (BigQuery, Dataflow, Pub/Sub, GCS, Cloud Composer)
Hands on with dbt and strong SQL skills
Experience with Vertex AI training and deployment
Proficiency in Python for production ML pipelines
MLOps fundamentals and basic CI/CD experience
Experience with Docker and cloud native development