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Senior Machine Learning Engineer – 12998
Skicka ansökan 29 dagar kvar
Ingenjör Machine Learning Engineer
29 dagar kvar

Arbetsbeskrivning

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in securing the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.

Assignment Description:

We are looking for a Senior Machine Learning Engineer to join our dynamic team.

What you will work on:

  • Design, build, and maintain scalable ML pipelines and workflows on Google Cloud Platform (GCP).
  • Implement model training, deployment, monitoring, and orchestration using Vertex AI.
  • Leverage GCP services such as BigQuery, Dataflow, Cloud Storage, Cloud Functions, and Cloud Run for data processing, analytics, and model serving.
  • Apply Infrastructure-as-Code (Terraform/Deployment Manager) and CI/CD practices (Cloud Build, GitHub Actions) for reliable, automated deployments.
  • Ensure secure, compliant ML workflows by managing IAM roles, service accounts, and authentication methods.
  • Provide knowledge transfer and technical guidance to the team, explaining best practices and scalable architecture choices.
  • Monitor, log, and optimize ML systems for performance, reliability, and cost efficiency.

What you bring:

  • Proven experience with GCP services and ML engineering workflows.
  • Strong Python programming skills with hands-on experience in building and debugging ML pipelines.
  • Deep practical knowledge of:
  • Vertex AI: training, deployment, monitoring, orchestration
  • BigQuery: scalable analytics and warehousing
  • Cloud Storage: raw and processed data storage
  • Dataflow: preprocessing and pipeline orchestration
  • Compute (CPUs/GPUs/TPUs): high-performance model training
  • Cloud Functions / Cloud Run: model serving and automation
  • IAM: access control for secure ML workflows
  • Monitoring & Logging: observability of ML systems
  • Artifact Registry / Container Registry: container and artifact storage
  • IaC: Terraform / Deployment Manager for GCP resources
  • CI/CD: Cloud Build, GitHub Actions integration
  • Auth & Access: OAuth 2.0, IAM roles, service accounts
  • Excellent communication skills with the ability to explain technical concepts clearly.
  • A collaborative, team-oriented mindset with a strong sense of ownership.

Mer info

Lön Fast och rörlig lön
Uppdragsform Vanlig anställning
Publicerad 2025-09-11
Antal platser 1
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