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AI & ML Engineer

Формат работы
remote (только Europe)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Serbia, Ukraine, Poland, Armenia, Romania, Cyprus, Latvia, Kazakhstan, Georgia, Bulgaria
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR

AI & ML Engineer (AI/ML): Designing, implementing, and optimizing machine learning and AI models with an accent on enhancing model performance, efficiency, and scalability. Focus on developing robust, scalable ML pipelines and deploying models into production environments.

Location: Remote from Bulgaria, Georgia, Kazakhstan, Poland, Latvia, Ukraine, Serbia, Romania, Cyprus, or Armenia. Also available onsite in Almaty, Astana, Belgrade, Cluj-Napoca, Dnipro, Kharkiv, Krakow, Kyiv, Larnaca, Lodz, Lublin, Lviv, Odesa, Riga, Sofia, Tbilisi, Varna, Warsaw, Wroclaw, or Yerevan.

What you will do

  • Design, implement, and optimize machine learning and AI models, including classification, regression, clustering, and agent tuning.
  • Experiment with the latest methods, frameworks, and architectures to enhance model performance and efficiency.
  • Develop robust, scalable ML pipelines for training, validation, and inference.
  • Deploy ML models into production environments (cloud or on-prem) ensuring high reliability, low latency, and scalability.
  • Apply MLOps best practices including CI/CD, monitoring, automated retraining, and model registry management.
  • Partner with data engineering teams to source, clean, and transform large datasets for model training and inference.

Requirements

  • 5+ years of professional experience in machine learning, AI engineering, or related fields.
  • Master’s degree in Computer Science, Machine Learning, Physics, or related field; PhD preferred.
  • Proficient in Python and ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.
  • Strong understanding of algorithms, statistics, probability, and linear algebra.
  • Hands-on experience with data pipelines and ETL tools (e.g., Spark, AWS Lambda, AWS Glue).
  • Practical experience with cloud platforms, preferably AWS.

Nice to have

  • Experience with agentic frameworks like LangChain or LangGraph.

Culture & Benefits

  • Flexible vacation policy as per the laws of your country.
  • Assistance with health insurance for you and your loved ones.
  • 10 days sick pay without a doctor's note.
  • Time off for state holidays according to the official calendar.
  • Pleasant environment with two large corporate parties and many small get-togethers.
  • Comfort service for technical and everyday work problems.

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