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 rankers
Optimize models for multiple objectives, including analyzing Pareto-fronts to balance competing goals
Conduct offline evaluation of recommender systems using ranking metrics such as NDCG and recall@k
Address position and selection bias in logged data to ensure robust model performance
Apply statistical rigor through significance testing, confidence intervals, and A/B test and holdout design
Process and analyze large-scale behavioral and clickstream data
Develop, test, and maintain clean, version-controlled code using Git
Track experiments and manage models throughout their lifecycle
Deploy and manage machine learning workflows on a cloud data platform
Collaborate 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 analysis
Expertise in offline evaluation of recommenders using ranking metrics (e.g. NDCG, recall@k)
Familiarity with position or selection bias in logged data
Strong background in statistics, including significance testing, confidence intervals, and A/B test and holdout design
Proficiency in Python and SQL
Skills in large-scale data processing with Spark, pandas, and polars
Competency in ML libraries such as scikit-learn, PyTorch, and LightGBM/XGBoost
Experience working with behavioral or clickstream data
Knowledge of experiment tracking and model management tools (e.g. MLflow)
Familiarity with cloud data platforms, preferably Databricks
Capability to write clean, tested, version-controlled code using Git
English proficiency at an Upper-Intermediate level (B2) or higher
Nice to have
E-commerce or retail background
Understanding of counterfactual or off-policy evaluation
Familiarity with contextual bandits or online learning
Experience with real-time model serving
We offer
We connect like-minded people:
Delivering innovative solutions to industry leaders, making a global impact
Enjoyable working environment, whether it is the vibrant office or the comfort of your own home
Opportunity to work abroad for up to two months per year
Relocation opportunities within our offices in 55+ countries
Corporate and social events
We invest in your growth:
Leadership development, career advising, soft skills and well-being programs
Certifications, including GCP, Azure and AWS
Unlimited access to EPAM's internal learning database
Free English classes with certified teachers
We cover it all:
Monetary bonuses for engaging in the referral program
Medical & family care package
Six trust days per year (sick leave without a medical certificate)
Coverage of psychology sessions of your choice
Discounts for fitness clubs and sports programs
Benefits 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.

Work arrangement
Yes