AI Data Engineer

TL;DR

AI Data Engineer (AI): Designing and engineering robust data and modeling pipelines for a Large Market Model (LMM) with an accent on scalable architecture and feature engineering. Focus on implementing production-level ML systems, MLOps, and ensuring data quality for predictive intelligence.

Location: Wrocław, Poland (Onsite)

Company

hirify.global is a technology company specializing in deep learning and AI-driven predictive intelligence, primarily serving the aviation industry with dynamic demand forecasting solutions.

What you will do

• Architect and orchestrate scalable data pipelines to ingest and integrate diverse datasets for AI model training.
• Conceptualize and implement sophisticated feature engineering to translate complex market dynamics into predictive signals.
• Build and maintain robust monitoring for system performance, data drift, and model evaluation.
• Implement MLOps principles and CI/CD workflows to ensure the operational health of production models.
• Collaborate with domain experts to refine predictive models and drive innovation in ML pipeline optimization.

Requirements

• B.Sc. or Master's degree in Computer Science, Engineering, Mathematics, or a related quantitative field.
• Minimum 2 years of commercial experience building production-level AI data pipeline systems.
• Expert-level proficiency in Python and data science libraries like Pandas and Scikit-learn.
• Hands-on experience with distributed computing frameworks such as Dask or Spark.
• Strong background in MLOps, pipeline orchestration (Dagster, Airflow), and SQL-based ETL.
• Experience with software engineering fundamentals including Docker, cloud platforms, and API development.

Nice to have

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

Culture & Benefits

• Opportunity to work on cutting-edge Large Market Models (LMM).
• Environment focused on ownership, problem-solving, and research-driven innovation.
• Collaborative team dynamic working at the intersection of deep learning and market intelligence.