AI/Machine Learning Engineer

We are seeking a proactive AI/Machine Learning Engineer to join our team and help design, build, and optimize recommendation and ranking systems at scale. In this role, you will develop models that drive personalized experiences, rigorously evaluate their performance, and collaborate closely with cross-functional teams to deliver impactful machine learning solutions in a modern cloud environment. Responsibilities Design and build recommendation and ranking models, including learning-to-rank, re-ranking, gradient-boosted, and neural rankersOptimize models for multiple objectives, including analyzing Pareto-fronts to balance competing goalsConduct offline evaluation of recommender systems using ranking metrics such as NDCG and recall@kAddress position and selection bias in logged data to ensure robust model performanceApply statistical rigor through significance testing, confidence intervals, and A/B test and holdout designProcess and analyze large-scale behavioral and clickstream dataDevelop, test, and maintain clean, version-controlled code using GitTrack experiments and manage models throughout their lifecycleDeploy and manage machine learning workflows on a cloud data platformCollaborate proactively with cross-functional teams to deliver production-ready ML solutions Requirements 3+ years of hands-on experience building recommendation or ranking models (e.g. learning-to-rank, re-ranking, gradient-boosted or neural rankers)Understanding of multi-objective optimization, including Pareto-front analysisExpertise in offline evaluation of recommenders using ranking metrics (e.g. NDCG, recall@k)Familiarity with position or selection bias in logged dataStrong background in statistics, including significance testing, confidence intervals, and A/B test and holdout designProficiency in Python and SQLSkills in large-scale data processing with Spark, pandas, and polarsCompetency in ML libraries such as scikit-learn, PyTorch, and LightGBM/XGBoostExperience working with behavioral or clickstream dataKnowledge of experiment tracking and model management tools (e.g. MLflow)Familiarity with cloud data platforms, preferably DatabricksCapability to write clean, tested, version-controlled code using GitEnglish proficiency at an Upper-Intermediate level (B2) or higher Nice to have E-commerce or retail backgroundUnderstanding of counterfactual or off-policy evaluationFamiliarity with contextual bandits or online learningExperience with real-time model serving We offer We connect like-minded people:Delivering innovative solutions to industry leaders, making a global impactEnjoyable working environment, whether it is the vibrant office or the comfort of your own homeOpportunity to work abroad for up to two months per yearRelocation opportunities within our offices in 55+ countriesCorporate and social eventsWe invest in your growth:Leadership development, career advising, soft skills and well-being programsCertifications, including GCP, Azure and AWSUnlimited access to EPAM's internal learning databaseFree English classes with certified teachersWe cover it all:Monetary bonuses for engaging in the referral programMedical & family care packageSix trust days per year (sick leave without a medical certificate)Coverage of psychology sessions of your choiceDiscounts for fitness clubs and sports programsBenefits package (sports activities, a variety of stores and services) EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments. Experience the freedom of remote work from anywhere in Kyrgyzstan, whether it's the comfort of your home or our modern office in Bishkek.