כניסההרשמה
חזרה

ML Engineer

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

Design, build, and operate infrastructure for machine learning and LLM systems, from training and evaluation workflows to production services. Work with research and engineering teams to move ML solutions from experimentation into reliable production systems.

מה תעשו

  • Design ML workflows for training, evaluation, batch prediction, and experimentation.
  • Develop ML infrastructure and developer tools, and improve CI/CD and model build flows.
  • Operate production ML services and improve monitoring, observability, reliability, and performance.
  • Deploy and operate ML workloads on Kubernetes and cloud infrastructure, including GPU workloads.
  • Build and contribute to LLM infrastructure, including model serving, gateways, SDKs, evaluation, and observability.
  • Own engineering problems from requirements and system design through deployment and production operation.

דרישות

  • 4+ years of experience in ML engineering, software engineering, backend engineering, or a similar hands-on engineering role.
  • B.Sc. in Computer Science, Software Engineering, or a related technical field, or equivalent significant practical experience.
  • Strong Python and software engineering skills, with experience building maintainable production systems.
  • Hands-on experience with Kubernetes and Docker, including deploying, debugging, and operating production workloads.
  • Experience with cloud environments, ML infrastructure and lifecycle, CI/CD, observability, and production operations.

יתרון

  • Experience with GPU workloads or high-scale ML inference, including vLLM, BentoML, Argo Workflows, or Kubeflow.
  • Experience with LLM platforms and infrastructure, including gateways, evaluation and observability tools, self-hosted models, or internal SDKs.
  • Experience with agentic systems, including agents, memory layers, or agent evaluation.

תנאי סף

  • 4+ years of experience in ML engineering, software engineering, backend engineering, or a similar hands-on engineering role
  • B.Sc. in Computer Science, Software Engineering, or a related technical field, or equivalent significant practical experience
PythonKubernetesDockerAWSGCPAzureML infrastructureLLM infrastructure