TL;DR

Senior Machine Learning Engineer (AI): Leading the full ML model lifecycle for next-generation recommendation and search models, helping shape a local experiences marketplace used by millions with an accent on scalable ranking, retrieval, and personalization models. Focus on integrating ML models into high-traffic distributed systems and experimenting with advanced techniques.

Location: EMEA time zone overlap preferred for maximum impact.

Company

%hirify_global% is a marketplace where customers discover new experiences and services everyday and local businesses thrive.

What you will do

Lead the full ML model lifecycle, including feature engineering, model design, training, deployment, and monitoring.
Architect and implement scalable ranking, retrieval, and personalization models using state-of-the-art ML frameworks.
Build robust, production-ready ML data pipelines and infrastructure.
Integrate ML models into high-traffic distributed systems, ensuring observability, CI/CD, and real-time performance.
Collaborate with Product and Data Engineering to understand business needs and translate them into measurable user impact.
Set technical standards and mentor less-experienced colleagues.

Requirements

5–8+ years of experience building and deploying ML models in production, ideally for recommender, ranking, or personalization systems.
Expertise in Python (and optionally Java/Scala), ML frameworks (PyTorch, TensorFlow, XGBoost), feature engineering, and data transformation.
Solid background in cloud (GCP strongly preferred), container orchestration (Docker, Kubernetes), and modern data/feature pipelines.
Skilled at structuring ambiguous problems and navigating fast-changing priorities.
Comfortable communicating complex technical concepts in clear, remote team environments (professional English).

Nice to have

Experience with search engine integration (Elasticsearch/Solr), real-time recsys at scale, experimentation platforms, deep learning for recommendations.

Culture & Benefits

Greenfield Impact: Architect the backbone of %hirify_global%’s revitalized search and recommendations from the ground up.
AI-First Scale-Up Vibe: Join a driven, supportive team amid exciting transformation.
Career Launchpad: Be the ML architect/leader you’ve always wanted to be, with clear pathways to technical or team leadership as we grow.
Global Collaboration: Work cross-functionally with international colleagues and senior leadership.