Senior hands-on MLOps Engineer
RemoteAug 11
About the job
Senior hands-on MLOps Engineer to design, build, and operate full lifecycle ML and Generative AI solutions. Responsible for reliability, performance, security, and infrastructure of AI workloads in production
Requirements
- 5+ years of experience across Software Engineering, DevOps/SRE, and MLOps
- Proven ownership of ML systems in production
- Strong Python development skills
- Deep experience with Docker and Kubernetes (including GPU-based workloads)
- Experience with MLOps pipelines and platforms (MLflow, Kubeflow, Vertex AI, etc.)
- Strong CI/CD and Infrastructure as Code (Terraform/Ansible) expertise
- Knowledge of LLMOps, RAG, and AI cost optimization
Source: Telegram channel Вакансии IT . Рекрутер Шатило Вероника
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