AI Data Engineer (AI)

TL;DR

AI Data Engineer (AI): Architecting and engineering scalable data and modeling pipelines for a Large Market Model (LMM) to forecast market trends with an accent on feature engineering and MLOps. Focus on building robust monitoring for performance and data drift, ensuring system reliability, and optimizing predictive intelligence pipelines.

Location: Netanya, Israel

Company

hirify.global is an AI company disrupting traditional systems with its Large Market Model (LMM), specifically targeting the airline industry with dynamic AI-driven solutions.

What you will do

• Design, build, and orchestrate scalable data pipelines to ingest and integrate diverse datasets for the LMM.
• Conceptualize and implement sophisticated features by translating market dynamics into predictive signals.
• Implement comprehensive testing strategies, including data validation and model evaluation.
• Own the operational health of production models by building monitoring for performance and data drift.
• Research and experiment with new techniques in feature engineering, MLOps, and model optimization.

Requirements

• B.Sc. or Master's degree in Computer Science, Engineering, Mathematics, or a related quantitative field.
• Minimum of 2 years of commercial experience building production-level AI data pipeline systems.
• Expert-level proficiency in Python and its ML ecosystem (Pandas, Scikit-learn).
• Proven experience with distributed computing frameworks such as Dask or Spark.
• Hands-on experience with MLOps principles, CI/CD for ML, and orchestrators (Dagster, Airflow).
• Strong software engineering fundamentals, including SQL-based ETL, Docker, and cloud platforms (AWS, GCP, or Azure).

Nice to have

• Experience in the aviation or high-frequency dynamic pricing industry.
• Contributions to open-source projects in the data or ML space.