MLOps Engineer

As an MLOps Engineer/Architect at Nitor, you will be a key expert in ML infrastructure, designing and implementing scalable, reliable systems that turn prototypes into production. You will work closely with data science teams to deploy ML models on cloud platforms like AWS SageMaker, GCP Vertex AI, Azure Machine Learning, or Kubeflow, ensuring performance, security, and cost-efficiency. Your role involves IaC tools (Terraform), CI/CD pipelines (GitHub Actions, Jenkins), container tech (Docker, Kubernetes), and cloud services (AWS, GCP, Azure). You will also potentially explore distributed training with Ray or Databricks. Strong communication skills in Finnish and English are valued, as you will liaise with local and international clients. You will contribute to long-term projects, building ML infrastructure from scratch, and supporting continuous model updates and governance.