Uppdragsperiod: 03-nov-2025 - 30-apr-2026
Target rate: 1050-1100 sek/h
Hybrid/ 3 days on site - Stockholm


Required Skills:

• 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:

o Vertex AI: Training, deployment, monitoring, orchestration

o BigQuery: Scalable analytics and warehousing

o Cloud Storage: Raw and processed data storage

o Dataflow: Preprocessing and pipeline orchestration

o Engine / TPUs / GPUs: High-performance training

o Cloud Functions / Cloud Run: Model serving and automation

o IAM: Access control for secure ML workflows

o Monitoring & Logging: ML system observability

o Registry: Container and artifact storage

o IaC: Terraform / Deployment Manager for GCP resources

o CI/CD: Cloud Build / GitHub Actions integration

o Auth & Access: OAuth 2.0, IAM roles, service accounts

Om oss

Senterprise är ett ledande rekryteringsbolag inom IT och en oberoende förmedlare av frilansande konsulter. Med aktiv headhunting, search och djup teknisk förståelse hjälper vi några av Sveriges främsta arbetsgivare att hitta rätt kandidater, både för anställning och konsultuppdrag.

Läs vidare på www.senterprise.se