Job Details

MLOps Engineer at Akvelon, remote (Serbia, Portugal, Poland, Croatia). Build and maintain end-to-end ML pipelines, manage cloud infrastructure, and deploy Kubernetes clusters for AI/ML workloads.

An international SaaS company building large-scale AI/cloud platforms for enterprise clients (finance, consulting, professional services) is expanding its R&D team. We’re looking for an MLOps/DevOps engineer to bridge data science and engineering — ensuring scalable, secure, and automated ML deployment. Key responsibilities: - Build and maintain end-to-end ML pipelines (data → training → deployment → monitoring) - Implement CD pipelines using ArgoCD, Helm - Manage cloud infrastructure via Terraform (IaC) - Deploy and scale Kubernetes clusters for AI/ML workloads - Set up monitoring for model performance, drift, cost (Prometheus, Langfuse, etc.) - Enforce security, compliance, and MLOps best practices across teams

4+ years in MLOps or DevOps Strong Python scripting & automation skills Hands-on with Kubernetes, Terraform, Kubeflow Pipelines / Argo Workflows Experience designing full-cycle ML pipelines Familiarity with LLM/AI/Agentic Systems patterns

Employment from day one + remote work Full hardware provided (laptop, monitors, etc.) English & local language courses Paid certifications + bonus for passing Access to conferences, trainings, mentoring Team buildings, monthly activities, corporate events Legal support in each country