Senior AI & ML Engineer (AI)

TL;DR

Senior AI & ML Engineer (AI/ML): Designing and building machine learning systems for search ranking and personalized recommendations at scale with an accent on NLP, ranking, and relevance systems. Focus on designing end-to-end ML pipelines, optimizing production latency, and implementing statistical validation for online experiments.

Location: Fully Remote (Kazakhstan, Poland)

Company

hirify.global is a career gateway connecting professionals with exciting opportunities and fulfilling work environments.

What you will do

• Design and build deep learning systems for search ranking, personalized recommendations, and session-based recommendation engines.
• Integrate geographic context into ranking systems to improve pickup point recommendations.
• Translate business objectives into machine learning objectives with appropriate non-functional requirements.
• Lead model evaluation using offline metrics and online experiments with statistical validation.
• Collaborate with backend engineers to deploy production-ready low-latency ML models.
• Own the end-to-end production ML lifecycle, including serving, monitoring, drift detection, and retraining pipelines.

Requirements

• 5+ years of machine learning engineering experience.
• Experience with search, NLP, ranking, recommendation, or relevance systems.
• Expert-level Python and SQL, including PySpark, Pandas, NumPy, Scikit-learn, and PyTorch.
• Ability to design an ML system from scratch, from data analysis and annotation to production serving.
• Experience with MLOps tools and deploying models with latency optimization.
• Knowledge of concept drift detection and management.

Nice to have

• Academic background in Computer Science, Mathematics, or another quantitative discipline.
• Experience fine-tuning and deploying LLMs for query understanding or relevance.
• Expertise in search relevance, autocomplete, or geocoding systems.
• Experience with mapping, location, or geospatial products.
• Experience building products for developing markets or using cloud ML platforms.

Culture & Benefits

• Fully remote work arrangement.
• Opportunity to work on high-scale personalized recommendation systems.
• Fulfilling work environment focused on professional growth.