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Senior ML/AI Engineer (1119)

Опубликовано 28 июля 2021
Exadel

Продуктовая компания с офисами в Kyiv, Ukraine; Lviv, Ukraine; Kharkiv, Ukraine; Odessa, Ukraine.

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Опыт:
3-5 лет
Формат:
Полный день
Удалённая
Направления:
Data Engineering
Deep Learning
Data Science & AI
Что Вы будете делать Обязаности
  • Understand business objectives and models that help achieve them
  • Propose and realize new ideas to benefit our customers and the company
  • Fully cover (develop, maintain, and monitor) the entire lifecycle of created models
  • Propose new research, improvements, and best practices
  • Share knowledge, ideas, and new approaches with team members
  • Stay up-to-date with the latest findings in applied data science
Чем Вы должны обладать
Обязательно
  • Hands-on experience (3-6 years) developing machine learning solutions with Python for Unstructured Text Based Problems (NLP), including: ML problem analysis, data preparation (Exploratory Data Analysis) & transformation, feature analysis & selection, topic modelling & NER (Named Entity Recognition), ML model selection using parameter tuning, model result analysis and presentation, transfer learning, and developing custom ML models based on requirements
  • Excellent knowledge of Python + Java or C++
  • Knowledge of PyTorch/TensorFlow/Sagemaker/Docker/MLflow/Kubeflow/Linux, as well as knowledge in the latest neural networks (Transformers, LSTM, GAN, etc.)
  • Good knowledge of machine learning libraries (like Scikit-learn, NLTK, spacy, etc.)
  • Strong programming knowledge of Python, Flask, NumPy, Pandas, etc.
  • Good knowledge of statistics and algorithms
  • Experience in image recognition or OCR technology
Желательно
  • Experience in Neural Networks and Deep Learning
  • Background in NLP would be awesome
  • Knowledge of ABBYY for PDF and image processing
  • Knowledge of cloud-based solutions, preferably Azure Cloud
  • Programming knowledge in MVC/.Net Core Web API, C#, SQL Server
Что Вы получаете Предлагаем
  • Vacation is 20 working days / till 20 working days per year for sick leaves
  • Full payment of taxes
  • English courses
  • Flexible work schedule
  • Friendly environment
  • Medical insurance
  • Opportunity for career growth
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