AI Data Team Lead

TL;DR

AI Data Team Lead (AI/ML): Leading the development and operational excellence of large-scale market data pipelines with an accent on MLOps, architecture, and feature engineering. Focus on mentoring a high-performing team, driving the technical roadmap for AI systems, and ensuring scalable data integration for predictive intelligence models.

Location: Tel Aviv

Company

hirify.global builds innovative deep learning and predictive AI models to forecast market dynamics and empower data-driven commerce.

What you will do

• Lead, mentor, and scale a team of AI Data Engineers, fostering a culture of technical excellence.
• Define the long-term architectural roadmap for robust, scalable data pipelines fueling the Large Market Model.
• Direct feature engineering strategies in collaboration with Data Scientists to translate market dynamics into signals.
• Champion research and experimentation in MLOps, distributed computing, and model optimization.
• Set technical standards and drive project planning for the AI data infrastructure.

Requirements

• B.Sc. or Master's degree in Computer Science, Engineering, Mathematics, or related field.
• Minimum 5 years of commercial experience building production-level AI data pipelines.
• At least 3 years in a technical lead or team management capacity.
• Expert-level proficiency in Python and its data science ecosystem (Pandas, Scikit-learn).
• Proven experience with distributed computing frameworks like Dask or Spark.
• Hands-on experience with MLOps principles, CI/CD, and pipeline orchestrators like Dagster or Airflow.
• Strong background in SQL-based ETL pipelines and cloud infrastructure (AWS, GCP, or Azure).

Nice to have

• Experience in aviation or high-frequency dynamic pricing industries.
• Active contributions to open-source data or ML projects.