Senior ML/AI Engineer (1119)

Published on Jul 28, 2021

A Product company with offices in Kyiv, Ukraine; Lviv, Ukraine; Kharkiv, Ukraine; Odessa, Ukraine.

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3-5 years
Job Type:
Data Engineering
Deep Learning
Data Science & AI

What You Will Do Responsibilities
  • 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

What You Should Bring
  • 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
  • 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

What You Will Get Benefits
  • 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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