Data Scientist Engineer (Machine Learning)

Location: Hybrid – Caesarea, Israel

Company

hirify.global develops advanced materials, manufacturing technologies, and science-based solutions for industrial applications and sustainability.

What you will do

• Design, develop, and evaluate machine learning models for real-time industrial applications.
• Own the end-to-end modeling pipeline from problem formulation and data preparation through deployment and post-production monitoring.
• Explore complex sensor and control datasets and lead feature engineering efforts.
• Define KPIs, evaluation frameworks, and experimentation strategies.
• Monitor model robustness, detect drift, and drive continuous improvement.
• Collaborate with data engineers, research engineers, deep learning researchers, domain experts, and stakeholders to bring models into production.

Requirements

• B.Sc. or M.Sc. in Computer Science, Statistics, Applied Mathematics, or a related field.
• 5+ years of hands-on experience applying machine learning in production environments.
• Strong Python skills and experience with scikit-learn, XGBoost, LightGBM, or CatBoost.
• Experience with feature engineering, model selection, and evaluation in real-world scenarios.
• Strong statistical understanding and ability to reason under uncertainty.
• Experience working with messy, high-dimensional, or time-series data and independently driving problems to production.

Nice to have

• Experience with industrial systems or sensor-based data.
• Familiarity with anomaly detection and root cause analysis.
• Experience deploying and monitoring production models.
• Exposure to deep learning for time-series or complex data.
• Experience with AWS SageMaker.

Culture & Benefits

• Work in the AI Team on industrial production systems.
• Collaborate across data science, research engineering, and domain expertise.
• Operate in a dynamic environment with evolving requirements.
• Full-time employment with a focus on innovation, safety, sustainability, collaboration, and continuous development.