MLOps Engineer/Architect (AI)

TL;DR

MLOps Engineer/Architect (AI): Designing and implementing ML platforms from proof-of-concepts into scalable, maintainable production systems with an accent on ML platform architecture patterns, infrastructure as code, and CI/CD processes. Focus on transforming data scientists' prototypes, deploying ML platforms, and ensuring ML models remain operational and update automatically.

Location: Our offices are in Helsinki, Tampere, and Stockholm. We’re primarily looking for someone based in the Helsinki area, but we’re open to candidates living a bit further away, for example, in Tampere or Turku - as long as you're willing to visit the client’s office when needed.

Company

hirify.global is a digital engineering company with over 250 experts in Helsinki, Tampere, and Stockholm, known for its employee-centric culture and focus on client satisfaction in challenging IT projects.

What you will do

• Design and implement ML platforms for customer projects.
• Transform data scientists' prototypes into robust, scalable production systems.
• Deploy ML platforms such as AWS SageMaker, GCP Vertex AI, Azure Machine Learning, or Kubeflow.
• Support ML engineers in model deployment and build feature engineering pipelines.
• Ensure ML models combine performance, security, cost-efficiency, and data governance practices.
• Collaborate closely with Data Platform and Machine Learning teams.

Requirements

• Deep understanding of how ML systems work in production and how to build them scalably.
• Experience setting up ML platforms (e.g., AWS SageMaker, GCP Vertex AI, Azure Machine Learning, Kubeflow, or similar).
• Mastery of at least one cloud service (AWS, Azure, or GCP).
• Proficiency with IaC tools and CI/CD processes (e.g., Terraform, GitHub Actions, Jenkins, Docker, Kubernetes).
• Ability to understand both data science teams' needs and infrastructure constraints, with strong communication skills.
• Willingness to visit the client’s office when needed, primarily based in the Helsinki area or within commuting distance to Tampere or Turku.

Nice to have

• Experience with distributed training, Ray framework, or similar.
• Knowledge of Databricks and data lake architectures.
• Fluent Finnish language skills.

Culture & Benefits

• Opportunity to work on meaningful, long-term ML projects.
• Use 10% of work time for professional development.
• €7,100 hardware bank for equipment and home office purchases.
• Full paid vacation from the beginning of employment.
• €100-2,000 bonus for each certificate completed.
• Access to joint trips, events, and hobby groups.
• Work in a creative and bureaucracy-free culture supporting Open Source project work.