MLOps Engineer (AI)

#MLOps
MLOps Engineer / Akvelon
Remote (Serbia, Portugal, Poland, Croatia)

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

Requirements:
- 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

Nice to have:
- Knowledge of TensorFlow / PyTorch / scikit-learn
- Experience with Spark, Databricks, Terragrunt
- Passion for generative and agentic AI

We offer:
- 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

Apply:
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