MLOps Engineer

2 weeks ago

Ashdod South District, Israel IAI - Israel Aerospace Industries Full time ₪80,000 - ₪120,000 per year

We are looking for a
MLOps Engineer
to join our software Division at Elta Systems

The position includes:

  • Design, build, and manage the infrastructure for deploying and monitoring ML models.
  • Collaborate closely with Data Scientists, Software Engineers, Developers, and Architects to ensure stable model training and deployment.
  • Build and maintain Big Data infrastructure using modern tools.
  • Develop and manage CI/CD/CT pipelines for model training and evaluation.
  • Ensure data privacy and security compliance.
  • Monitor deployed models and resolve issues to ensure consistent performance.
  • Develop automation tools for data preparation, feature engineering, and model training.
  • Implement model versioning and governance to ensure reproducibility and auditing.
  • Support and mentor team members on MLOps best practices.
  • Stay up to date with trends and technologies in AI, ML, Big Data, and cloud infrastructure.

What We're Looking For

  • Relevant academic background (Computer Science, Engineering, or equivalent).
  • 2+ years of experience
    in MLOps, ML engineering, or related roles –
    mandatory
    .
  • Proficiency in
    Python
    and ML libraries (TensorFlow, PyTorch, scikit-learn) –
    mandatory
    .
  • Deep understanding of
    DevOps tools
    : Docker, Podman, Kubernetes, Jenkins, Terraform, Ansible –
    mandatory
    .
  • Hands-on experience with
    CI/CD
    and
    Git-based systems
    (GitHub/GitLab, Azure DevOps) –
    mandatory
    .
  • Knowledge of model deployment, monitoring, and performance optimization –
    mandatory
    .
  • Experience with data storage systems (SQL, NoSQL, Data Lakehouse) –
    mandatory
    .
  • Experience with cloud platforms (AWS, GCP, Azure) –
    advantage
    .
  • Familiarity with MLOps tools (ClearML, Kubeflow, MLflow) –
    advantage
    .
  • Knowledge of model serving frameworks (TensorFlow Serving, TorchServe, Seldon) –
    advantage
    .
  • Experience with Apache Airflow –
    advantage
    .
  • Familiarity with monitoring tools (Prometheus, Grafana) –
    advantage
    .
  • Experience with Data Lakehouse technologies (Cloudera, Hive, Spark, Kafka) –
    advantage
    .

Good to know:

You'll play a key role in building and maintaining ML systems across Elta. This position offers an opportunity to work closely with cross-functional teams, including Data Scientists, Software Engineers, and IT, to build state-of-the-art AI and Big Data infrastructure in both development and production environments.

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