כניסההרשמה
חזרה

Senior MLOps Engineer

Noma Security
שכר לא צויןTel Aviv, Tel Aviv-Yafo, Israel, מהמשרדסניורמשרה מלאה
משרה חיצונית, ההגשה באתר החברהאושר שהמשרה פתוחה לפני 11 שעות

You will build and operate the infrastructure, tools, and workflows for training, evaluating, deploying, and monitoring NLP and LLM models. You’ll work with DevOps, Backend, Data, and Product to make ML systems reliable, efficient, and ready for production.

מה תעשו

  • Build and maintain pipelines for training, fine-tuning, evaluating, and deploying NLP and LLM models.
  • Implement CI/CD workflows for ML models, including benchmarking, testing, and production deployment.
  • Select and optimize serving frameworks for reliable, scalable inference.
  • Manage training environments, experiment tracking, model registries, artifact versioning, and distributed training systems.
  • Monitor and optimize production models for performance, cost, availability, and observability.

דרישות

  • 5+ years in software engineering, MLOps, or ML engineering, with hands-on experience deploying ML models to production.
  • Strong Python fundamentals and understanding of transformer architectures, tokenization, and NLP frameworks such as PyTorch and HuggingFace.
  • Experience deploying and scaling LLMs for real-time inference.
  • Expertise in GPU optimization, distributed training, and CPU-based inference optimization.
  • Strong cloud and Kubernetes background, including EKS/GKE/AKS, Helm, Terraform, and CI/CD for ML.

יתרון

  • Experience building or operating internal ML platforms.
  • Knowledge of LLM evaluation frameworks for quality, robustness, or observability.
  • Experience with data-driven ML operations, cost optimization, and model observability.
  • Understanding of security implications in ML pipelines.
  • Familiarity with multi-model orchestration, vector databases, or retrieval pipelines.

תנאי סף

  • 5+ years of experience in software engineering, MLOps, or ML engineering
  • Hands-on experience deploying ML models to production
  • Strong Python fundamentals
  • Strong cloud and Kubernetes background

הטבות

  • פנסיה
  • קרן השתלמות
  • תקציב חודשי לארוחות צהריים
  • ארוחות ערב
  • מטבח מצויד
  • שיעורי פילאטיס במשרד
  • פעילויות גיבוש, נופשי חברה ומתנות לחגים
  • אפשרות לקבלת אופציות
MLOpsPythonPyTorchHuggingFaceKubernetesTerraformCI/CDLLM inference