Salary
💰 SEK 1,050 - SEK 1,100 per hour
Tech Stack
BigQueryCloudGoogle Cloud PlatformPythonTerraform
About the role
- Work as Senior Machine Learning Engineer on consultancy assignment.
- Use GCP services to design, train, deploy and monitor ML models (Vertex AI, BigQuery, Dataflow, Cloud Storage).
- Build and debug ML pipelines in Python and optimize for performance using TPUs/GPUs.
- Set up model serving and automation using Cloud Functions/Cloud Run and CI/CD.
- Implement IAM, monitoring, logging and registry practices for secure, observable ML workflows.
- Transfer knowledge and advise on best practices, architecture choices, and scalable ML setups on GCP.
- Collaborate with team, take ownership and support shared goals.
Requirements
- Proven experience with GCP services and ML engineering workflows.
- Strong Python programming skills, with the ability to build and debug ML pipelines.
- Skilled in knowledge transfer: able to explain best practices, architecture choices, and scalable ML setups on GCP.
- Team-oriented mindset: supports shared goals, takes ownership, and fosters learning.
- Deep practical knowledge of: Vertex AI, BigQuery, Cloud Storage, Dataflow, Engine/TPUs/GPUs, Cloud Functions/Cloud Run, IAM, Monitoring & Logging, Registry, IaC (Terraform/Deployment Manager), CI/CD (Cloud Build/GitHub Actions), Auth & Access (OAuth 2.0, IAM roles, service accounts).