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AI/Machine Learning Engineer

EPAM Systems

New Remote
Remote Mid 🇬🇧 English
Python SQL Spark pandas polars scikit-learn PyTorch LightGBM XGBoost MLflow Git Databricks

Job description

About the role

We are looking for a proactive AI/Machine Learning Engineer to design, build, and optimise recommendation and ranking systems at scale. You will develop models that deliver personalised experiences and work closely with cross‑functional teams 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.
  • Optimise models for multiple objectives using Pareto‑front analysis and conduct offline evaluation with metrics such as NDCG and recall@k.
  • Address position and selection bias in logged data, apply statistical rigour, and design A/B tests and holdout experiments.
  • Process large‑scale behavioural and clickstream data, maintain version‑controlled code in Git, and track experiments throughout the model lifecycle.
  • Deploy and manage machine‑learning workflows on a cloud data platform and collaborate with cross‑functional teams to deliver production‑ready solutions.

Required profile

  • 3+ years of hands‑on experience building recommendation or ranking models.
  • Strong background in statistics, significance testing, confidence intervals and A/B test design.
  • Experience with large‑scale data processing and cloud data platforms, preferably Databricks.
  • Upper‑Intermediate English proficiency (B2) or higher.

Required skills

  • Python
  • SQL
  • Spark, pandas, polars
  • scikit‑learn, PyTorch, LightGBM, XGBoost
  • MLflow
  • Git
  • Databricks (or similar cloud data platform)

What we offer

  • Fully remote work from anywhere in Armenia with optional office spaces in Yerevan or Gyumri.
  • Opportunities to work abroad for up to two months per year and relocation within 55+ countries.
  • Leadership development, career advising, soft‑skills and well‑being programs, plus certifications (GCP, Azure, AWS).
  • Employee Stock Purchase Plan, referral bonuses, comprehensive medical & family care, and four trust days per year.
  • Discounts for fitness clubs, hotels, restaurants and other services.

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Published 3 ժամ առաջ

Expires 1 ամիսից

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EPAM Systems