AI/Machine Learning Engineer

About the role

We are seeking a proactive AI/Machine Learning Engineer to design, build, and optimize recommendation and ranking systems at scale, delivering personalized experiences in a modern cloud environment.

Key responsibilities

• Design and build recommendation and ranking models, including learning-to-rank, re‑ranking, gradient‑boosted, and neural rankers.
• Optimize models for multiple objectives using Pareto‑front analysis.
• Conduct offline evaluation with metrics such as NDCG and recall@k and address position/selection bias.
• Apply statistical rigor through significance testing, confidence intervals, and A/B test design.
• Process large‑scale behavioral and clickstream data.
• Develop, test, and maintain clean, version‑controlled code using Git.
• Track experiments, manage model lifecycle, and deploy workflows on a cloud data platform.
• Collaborate with cross‑functional teams to deliver production‑ready ML solutions.

Required profile

• 3+ years of hands‑on experience building recommendation or ranking models.
• Strong background in statistics and multi‑objective optimization.
• Proficiency in Python and SQL.
• Experience with large‑scale data processing tools such as Spark, pandas, or polars.
• Upper‑Intermediate English proficiency (B2) or higher.

Required skills

• Python
• SQL
• Spark
• pandas
• polars
• scikit‑learn
• PyTorch
• LightGBM/XGBoost
• MLflow
• Git

What we offer

• Remote work from anywhere in Kyrgyzstan, with a modern office in Bishkek.
• Opportunities for international travel and relocation within 55+ countries.
• Leadership development, certifications (GCP, Azure, AWS), and unlimited learning resources.
• Medical and family care package, referral bonuses, and various wellness benefits.