Senior MLOps Engineer
כדי להגיש, לשמור או לפתוח את דף המשרה מתחברים עם Google. זה חינם, ואחרי ההתחברות חוזרים ישר למשרה הזו.
תקציר
Join Noma Security and help shape the future of AI security in a fast-paced, high-impact environment.
דרישות
- 5+ years in software engineering, MLOps, or ML engineering with hands-on experience deploying ML models to production.
- Strong Python fundamentals and deep understanding of transformer architectures , tokenization, and NLP frameworks ( PyTorch, HuggingFace ).
- Proven experience deploying and scaling LLMs for real-time inference —ideally on platforms like SageMaker, Vertex AI, or similar .
- Expertise in GPU optimization, distributed training , and CPU-based inference optimization.
- Strong cloud and Kubernetes background ( EKS/GKE/AKS , Helm, Terraform, CI/CD for ML).
- Background in building or operating internal ML platforms. (advantage)
- Knowledge of evaluation frameworks for LLM quality, robustness, or observability. (advantage)
- Experience working with data-driven ML operations , cost optimization, and model observability. (advantage)
- Understanding of security implications in ML pipelines. (advantage)
- Familiarity with multi-model orchestration, vector DBs, or retrieval pipelines. (advantage)