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Must-have:

От 3 лет опыта разработки ПО с использованием технологии машинного обучения на Python или другом языке программирования
Опыт работы с ML-моделями на всех этапах
Экспертное знание алгоритмов
Знание PyTorch, Tensorflow
Понимание архитектур нейросетей для различных областей (Text-to-Speech, Behavior Prediction, NLP и другие)
Знание английского на уровне B1 и выше


Must-have:
  • 2 years or more of experience in commercial Computer Vision projects;
  • experience with video processing and object recognition on it;
  • experience working with complex, multi-phase projects;
  • good hands-on experience in project architecture creation;
  • development of cross-platform applications.
  • C++/Python;
  • OpenCV.
  • English - upper-intermediate or higher (written and verbal).

Must-have:

Strong analytical and data interpretation skills
Work experience with Python (Pandas, NumPy, bs4, Selenium, Sklearn, SciPy, Keras)
Experience with scraping and data cleaning
Understating and experience in developing ML algorithms (regression, classification, neural networks )
Strong background in statistics, probability theory, and linear algebra
Good understanding of model scoring, results interpretation, and further usage


Must-have:

• MSc/BSc in Computer Science or similar degree. Knowledge of statistics, probability theory and linear algebra.
• Good knowledge of ML theory and practice — pros & cons of different model types, validation, metrics, hyperparameter tuning, interpretability
• Experience with Tensorflow and Keras (can implement custom NN model from paper)
• Practical experience with ML models in production (2+ years)
• Experience with distributed model training and distributed feature engineering (Spark/Dask/Apache Beam)
• Python 3.х, software engineering skills (able to produce well-structured production-level projects, not only notebook scripts)


Must-have:
  • MS degree in Computer Science or other related fields
  • 3+ years of coding experience with Python
  • A proven track record of R&D projects in ML and/or CV
  • Advanced knowledge and experience in methods for the analysis of time-series data
  • Deep knowledge of such packages as Numpy, Scikit-Learn, Matplotlib, Kats, Sktime
  • SQL Databases + Snowflake
  • Upper-intermediate English
  • Proactivity and good soft skills

Must-have:

Have a PhD or Masters in Computer Vision, Computer Science, or related field
Be passionate about creating innovative techniques, and making them robust and scalable
Have (at least) 4 years of experience in applying state-of-the-art Computer Vision and Machine methods on industrial applications
Be autonomous, a team player with a positive mindset
Be creative and innovation-focused
Excellent communication skills in English and ability to effectively communicate complex technical concepts
Broad expertise in Computer Vision and Machine Learning (e.g., object detection, tracking, segmentation, image classification, 3D reconstruction, image and video processing, graphics rendering, etc.)
Solid programming skills with Python and/or C/C++
Previous experience in Tensorflow and/or Pytorch


Must-have:
  • 5+ years of relevant experience with a proven track record of developing algorithms and machine learning products for production ready recommendation or prediction systems using languages and big data platforms such as Scala, Python, R, Java, Spark, Cassandra, and Hadoop.
  • Deep understanding and experience in Big Data concepts
  • Extensive knowledge of ML frameworks, libraries (e.g. Scikit, Numpy, Pandas, TensorFlow, R ML packages), tools (AWS EMR, Databricks, Knime, etc), data structures, data modeling concepts
  • Able to organize and architect ML modules
  • In-depth knowledge of mathematics, statistics, and algorithms (Random Forests, General Linear Regression, Elastic Nets, Clustering, and NLP)
  • Superb analytical and problem-solving abilities
  • Great communication, collaboration skills, time management and organizational abilities
  • BS/MS in Computer Science, ML, Mathematics, or related field and/or equivalent work experience

Must-have:

Programming experience in Python/Matlab
AWS SageMaker - huge plus
Experience of 4+ years in data science working in a production environment
Strong English and communication skills (both speech and writing)
Highly motivated and positive-attituded person
Team player
Experience with agile development methodology
Outstanding communication skills
Passion for data
Delivery oriented
Experience with Java
Experience with Signal Processing
Experience in the field of predictive maintenance
Data science
Machine learning algorithms
Data engineering
Deep learning
CS algorithms
Python /Matlab
Signal processing


Must-have:

• 3+ лет опыта работы в роли Computer Vision Engineer
• Иметь опыт в большинстве из перечисленных задач:
depth estimation, 3d reconstruction, object detection, face and emotions recognition, SLAM, feature extraction
• Высокий уровень владения Python 3
• Применение DNN архитектур и понимание их особенностей и сфер использования
• Владение ML/CV библиотеками OpenCV, Pandas, Numpy, Tensorflow/Pytorch
• R&D: умение работать с научными статьями, опыт самостоятельных исследований


Must-have:

Master degree or higher in Computer Science/Mathematics/Physics, /Electric engineering or equivalent is a must;
Strong theoretical background in Machine Learning;
An in-depth understanding of linguistics’ theory and principles (compositionality, semantic relations, parsing methods, etc.);
2+ years experience with Python;
3+ years experience with conducting NLP research using Deep learning models (RNN, Transformers, etc) and frameworks (PyTorch, Tensorflow, etc.).