MLOps Engineer / Akvelon

Навыки

• ArgoCD / Flux
• Databricks
• Helm
• Kubernetes
• LLM
• Machine Learning
• MLOps

Задачи

• 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
• 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

Требования

• 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

Будет плюсом

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

Условия

• 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
• Tg: @sorokinajulia

Паспорт вакансии

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