Senior Machine Learning Engineer – 12998

Publiceringsdatum: 2025-09-11

Söker du efter ett jobb inom data/it-sektorn? Ett spännande jobb som projektledare, it hos Veritaz AB väntar på dig - varför inte söka idag? Intresserade sökes för heltid-jobb hos Veritaz AB - är du intresserad? De letar efter någon som vill jobba 6 månader eller längre.

För detta jobb är det en fördel om du bor i närheten av ospecificerad arbetsort då det är tjänsteorten. Veritaz AB söker för närvarande efter ambitiösa individer som vill utvecklas i rollen som projektledare, it. Kolla in deras ledig tjänst och se om du har vad som krävs för att bli en del av deras team. Här är chansen att bli en del av Veritaz AB och jobba som projektledare, it! Ansök senast lördag den elfte oktober 2025.

Jobbannons

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.