Senior MLOps Engineer

Tel Aviv-Yafo, Engineering

Tel Aviv-Yafo office

We are seeking a talented senior Machine Learning Engineer to join our MLOps team. In this role, you will play a crucial part of all Machine Learning lifecycle opeations, offline and online feature serving for AI models, Data pipeline for ML, Model train, CI\CD for AI models and more.

As a key member of the MLOps team, you will collaborate with cross-functional teams to streamline the end-to-end machine learning lifecycle and contribute to the optimization of our MLOps processes.


  • Data pipeline for ML: Design, develop, and implement scalable and reliable systems for feature engineering that can serve both online and offline inference flows.
  • Model Deployment: Design, develop, and implement scalable and reliable systems for deploying machine learning models into production.
  • Implement CI/CD pipelines for seamless model updates and releases.
  • Monitoring and Quality: Establish robust monitoring and logging mechanisms for deployed models to identify anomalies and drifts in AI components.
  • Collaborate with DevOps and DatOps teams to integrate machine learning solutions into existing infrastructure.


  • Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field.
  • Proven experience as a Machine Learning Engineer, with a focus on model deployment and feature pipeline.
  • Strong programming skills in languages such as Python, Java, or Scala.
  • Experience with containerization technologies (Docker, Kubernetes) and cloud platforms (AWS, Azure, GCP).
  • Familiarity with MLOps tools and frameworks (e.g., MLflow, Kubeflow, Sagemaker).
  • Understanding of continuous integration and continuous deployment (CI/CD) practices.
  • Excellent communication skills.
Apply for this role