MLOps Engineer/Architect

Nitor; Helsinki; On-site; EUR 60,000 - 85,000; Full time

Benefits offered by this job

Professional development allowance

Tools fund for office/home office

Fully paid holidays

Performance bonus

Team events and flexible work hours

Job summary

Nitor is seeking a skilled MLOps Engineer in Helsinki to design and maintain ML platforms, working closely with various teams for optimal model performance. Responsibilities include building ML infrastructure on AWS, GCP, or Azure, and ensuring models operate efficiently.

The ideal candidate has strong ML architecture knowledge, experience with IaC tools, and excellent communication skills in both Finnish and English. Nitor offers substantial professional development and flexible work policies.

Qualifications

• Strong knowledge in ML production architecture including workflows and cost optimisation.
• Hands-on experience with cloud platforms like AWS, GCP, Azure.
• Proficiency in IaC tools and CI/CD processes.

Responsibilities

• Build ML infrastructure for client projects using various cloud platforms.
• Deploy production-ready pipelines from PoC applications.
• Support ML engineers with model deployments.

Skills

Machine Learning production architecture

AWS SageMaker

GCP Vertex AI

Azure Machine Learning

Kubeflow

Terraform

CI/CD processes

Docker

Kubernetes

Finnish (Fluent)

English (Fluent)

Tools

GitHub Actions

Jenkins

Ray

Databricks

Job description

Job Overview

As a MLOps Engineer at Nitor you'll design, build and maintain production‑ready ML platforms, transforming proof‑of‑concepts into scalable systems. You will work closely with data scientists, ML engineers and platform teams to ensure models run safely, efficiently and with governance.

Responsibilities

• Build ML infrastructure for client projects using AWS SageMaker, GCP Vertex AI, Azure Machine Learning or Kubeflow.
• Deploy production‑ready pipelines: convert PoC applications into production‑grade systems.
• Support ML engineers with model deployment and feature‑engineering pipelines.
• Implement IaC with Terraform and CI/CD pipelines with GitHub Actions or Jenkins.
• Use container technologies (Docker, Kubernetes) and cloud services (AWS, GCP, Azure).
• Ensure models stay operational and automatically update with new data.
• Apply security, cost‑optimization and governance best practices.
• Collaborate with Cloud, Data Platform, ML and business teams.

Qualifications

• Strong knowledge of ML production architecture: training/serving, workflows, security and cost optimisation.
• Hands‑on experience building platforms on AWS SageMaker, GCP Vertex AI, Azure Machine Learning or Kubeflow.
• Proficiency with at least one cloud provider (AWS, Azure or GCP).
• Experience with IaC tools and CI/CD processes (Terraform, GitHub Actions, Jenkins, Docker, Kubernetes).
• Excellent communication skills in Finnish and English.
• Experience with distributed training (Ray, etc.) and Databricks data‑lake architectures is a plus.

What Nitor Offers

• Professional development allowance: 10 % of your working hours.
• Tools fund of €7,100 for office equipment and home‑office.
• Fully paid holidays from day one.
• Performance bonus up to €2,000 per certified qualification.
• Team events, travel, and flexible work‑time policy.

Apply Now

We look forward to hearing how your expertise can help us move forward. Please contact Ella Raskila ([e-mail]) for more information.