MLOps Architect — Production ML on Cloud Platforms

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

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.