MLOps Team Lead (AI)

Company

hirify.global builds responsible AI that transforms market complexity into measurable profit growth through a proprietary Market Model delivering accurate demand predictions for volatile markets.

What you will do

• Lead, mentor, and grow a team of MLOps engineers, owning delivery and technical quality.
• Take end-to-end ownership of infrastructure and pipeline initiatives across the LMM group.
• Contribute to design and code, review work, and set engineering standards.
• Drive the team through critical milestones in ML model-lifecycle and infrastructure ownership.
• Partner with R&D and other stakeholders to translate research needs into robust, scalable systems.
• Help evolve the platform, including the ongoing migration from Dask to Ray.

Requirements

• BSc or Master's degree in Computer Science, Mathematics, or Engineering.
• At least 5 years of commercial experience in Python and 3+ years of hands-on commercial MLOps experience in production.
• Experience managing or leading a team of engineers, with ownership of both people and delivery.
• Hands-on experience owning the ML model lifecycle and using pipeline orchestrators like Dagster or Airflow.
• Experience with a major cloud provider (GCP, AWS, or Azure), distributed computing systems, Docker, and Kubernetes.
• English: Fluent (C1) written and spoken

Nice to have

• Experience with Dagster, Dask, or Ray.
• Experience with Spark and implementing distributed algorithms in Python.
• Knowledge of traditional predictive, forecasting, or pricing-optimization ML systems.
• Experience in aviation, demand forecasting, or price optimization.