mlops engineer

توضیحات آگهی

Tehran Iran Full time Salary Negotiable Base Bonus About the Role Bridge GPU CPU health automation and ML lifecycle management You ll automate node health checks and build robust Kubeflow pipelines ensuring a high performance environment for AI engineers Key Responsibilities GPU CPU Health Automation Priority 1 Automate health checks during node provisioning link stability ECC PCIe thermal and store results in a Ground Truth Library collaborate with GPU Performance Engineering on thresholds Build and maintain end to end ML pipelines in Kubeflow deployment monitoring Manage Kubernetes clusters with Docker in production Automate CI CD via GitHub Actions or GitLab CI Jenkins Write Python Bash scripts for Linux systems and infrastructure tasks Implement monitoring alerting with Prometheus Grafana ELK stack is a plus Troubleshoot across dev staging production document processes runbooks and postmortems Ensure security compliance and governance in cloud on prem environments Required Skills Qualifications 2 years in MLOps DevOps SRE or infrastructure roles Strong Python and Linux skills Hands on Kubernetes Docker in production Experience with CI CD GitHub Actions GitLab CI or Jenkins Understanding of deep learning pipelines frameworks TensorFlow PyTorch Prometheus Grafana experience ELK familiarity is a plus Basics of networking security system administration and databases Hardware level diagnostic concepts ECC PCIe errors thermal link stability Cloud fundamentals AWS GCP or Azure Personal Attributes Soft Skills Detail oriented Problem solving logical thinking Curious inquisitive Teamwork collaboration Patience perseverance Quick learner flexible Responsibility discipline Creative innovative thinking Ownership mindset for reliability and outcomes Resilience under pressure R D experimentation mindset Nice to Have SRE practices SLIs SLOs incident response IaC tools Terraform Ansible Distributed systems microservices architecture Prior GPU workload or hardware validation exposure Kubeflow MLflow advanced experience Relevant certifications CKA CKAD cloud certs Benefits R D driven environment with cutting edge GPU technologies Competitive salary performance bonus Continuous learning skill building and career growth Shared individual and organizational development goals تهران تهران میدان ولیعصر تمام وقت خانه هوش ایران کارشناس جنسیت تفاوتی ندارد تکنولوژی و نوآوری سرمایه گذاری خطرپذیر شتاب دهنده