Senior MLOps Engineer

Description

🚀 We are looking for a Senior Cloud Engineer to join a team of our client a Swedish company that manufactures outdoor power products, such as robotic lawn mowers, chainsaws, trimmers, and others.

You will join our client's DevOps/MLOps team to operationalize and scale growing suite of their internal AI and LLM-based tools. This role is critical in enabling the seamless transition of models and AI features from development into secure, production-ready, cloud-native systems across Azure and AWS.

In this role you will:

• Build and maintain ML/LLM deployment pipelines that automate model integration, testing, versioning, and rollout using cloud-native services.
• Develop and manage containerized ML applications using Docker, Kubernetes (EKS/AKS), ECS, or Azure Container Instances.
• Collaborate with AI and software teams to productionize models, handling API integration, authentication (OAuth2), and scaling strategies.
• Implement infrastructure as code (Terraform) and enable continuous delivery via GitHub Actions or similar CI/CD tools.
• Design and operate data pipelines (structured & unstructured) using Databricks, PySpark, and cloud-native data services.
• Ensure secure handling of credentials, secrets, and tokens using AWS Secrets Manager, Azure Key Vault, and RBAC.
• Monitor ML systems using Prometheus, Grafana, OpenTelemetry, CloudWatch, and Azure Monitor with a focus on performance and cost efficiency.
• Optimize deployments with load balancing, API gateways, and autoscaling configurations.
• Contribute to model evaluation strategies, automated testing, and A/B rollout plans for LLM or AI tool behavior.

Benefits

• Life insurance
• Multisport card
• Fully remote job
• Private medical care
• Flexible working hours
• B2B or contract of employment
• Amazing integration events on a regular basis
• Training budget (e.g. Microsoft Azure Certifications)
• Opportunity to impact our company culture build-up
• Work equipment (laptop, 2 monitors, and accessories)

Interview Process

• Initial interview with Julia, our recruiter - 30 minutes
• Technical interview with one of our technical interviewers - 30-45 minutes
• Interview with the client - 1 hour