ML Engineer/Data scientist

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Требуемый опыт работы: 3–6 лет

Полная занятость, полный день

Project’s brief description: ML-driven code optimization of Android firmware

Tasks description:

  • Apply data analysis, machine learning, predictive modeling, statistics, visualization, and other data science techniques to derive actionable insights.
  • Process large and complex raw data sets that meet business needs.
  • Select and/or develop appropriate methods and techniques in performing experiments.
  • Participate in ongoing research and evaluation of new technologies and analytical solutions
  • Selecting features, building and optimizing classifiers using machine learning techniques
  • Data mining using state-of-the-art methods
  • Develop and implement NN models for structured prediction

Requirements:

  • BA/BS in Applied Mathematics, Applied Statistics, Computer Science or similar

Mandatory requirements: // to be updated

  • 3 years’ experience in predictive modeling, deploying algorithms in a production environment (ML, NLP)
  • Solid understanding of pattern recognition, predictive analysis, data mining, expert system concepts
  • Hands-on experience with data mining, its concepts, techniques, and implementation
  • Experience with common ML toolkits: PyData stack (Python, pandas, sci-kit learn), Tensorflow, Caffe, Caffe2, Keras, PyTorch
  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
  • Ability to postulate and verify the hypothesis regarding data
  • Basic knowledge of C/C++
  • Knowledge of data structures and algorithms complexity
  • English (to write documentation and communicate with HQ by email)
  • Full-time employment

Would be a plus:

  • Knowledge and experience in structured prediction (e.g. structured SVMs, graph neural networks, etc.)
  • Solid experience in NLP, anomaly detection models creation, forecasting and/or claims data analysis
  • Experience in SW development (C/C++/Java)
  • Deep understanding of computer system architecture, compiler internals and code optimizations
  • Scientific background (PhD, patents, papers)

Work conditions:

  • Interesting problems to solve
  • Convenient location of office A class: between m. Maryina Roshcha / Savelovskaya
  • Flexible working time
  • Full compliance with Russian Labor Code
  • Corporate discount on company goods
  • Free lunches
  • Medical and life insurance
  • 7 days of paid sick leaves (including days without sick leave certificate)
  • Fitness room, shower, swimming pool

Ключевые навыки

predictive modelingdeploying algorithmspattern recognitionpredictive analysisData MiningData ScientistPyData stackPythonTensorflowCaffeKerasPyTorchk-NNC/C++machine learning

Контактная информацияКонтактная информация

Tarasova Kristina

+7 (495) 797-24-72

k.tarasova@partner.samsung.com

Адрес

Савеловская, Москва, Двинцев, 12, корпус 1
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Вакансия опубликована 18 июля 2019 в Москве

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