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-Master’s degree in a quantitative field like Math, Statistics or Machine Learning
-5+ years experiences of professional industry experience in machine learning (Experience with models and analysis for pricing, targeting and experimentation a plus)
-Basic understanding of machine learning algorithms and statistics
-Proficient in Python and SQL (Proficiency in NoSQL database technologies a plus)
-Experience with algorithm development and prototyping
-Experience with data visualization and cloud computing tools
-Ability to communicate clearly and effectively to cross functional partners of varying technical levels.
Location: Remote or Fort Lauderdale, FL

• Deep understanding of Applied Mathematics: Probability Theory and Statistics, Numerical Methods, Linear Algebra, Optimization
• Proficient in Python
• Bachelors, Masters or Phd in Physics, Mathematics, Statistics; or equivalent experience (we also welcome students)
• Excellent communication skills
• Willingness to learn together with a team of professionals
• Organized and detail-oriented, comfortable managing multiple work streams
• Intermediate and higher level of English

Experience in Python
Английский - Upper Intermediate
A desire to learn new technologies and build great software and data models used by key people in the digital video entertainment industry.
Hands-on experience with developing machine learning models and creating software implementing those models
Experience with using Python data science packages such as sci-kit-learn, TensorFlow, and pandas is a plus
An ability to solve problems and communicate your technical insights effectively.
Enthusiasm to be an active and contributing member of a high-performance engineering team.
M.S. or Ph.D. in Computer Science, Math, Data Science, or an equivalent field.

• 2+ years in machine learning (computer vision domain);
• Practical experience in at least one of the following problems: classification, detection, segmentation;
• Python3, NumPy, sci-kit-learn, pandas, scipy;
• Deep learning frameworks: TensorFlow or PyTorch is a must; Keras is a plus;
• Experience in deploying machine learning models to production;
• Good understanding of machine learning and deep learning concepts.

• Proven experience as a Machine Learning Engineer or similar role
• ​Understanding of data structures, data modeling and software architecture
• Deep knowledge of math, probability, statistics and algorithms
• Ability to write robust code in Python, Java and R
• Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
• Experience with data enrichment, feature engineering, and feature selection
• Experience in predictive analytics e.g. generalised linear models, ensemble models, and NN applications to classification problems.
• Experience with Bayesian style models
• Experience with web scraping an advantage
• Excellent communication skills
• Ability to work in a team
• Outstanding analytical and problem-solving skills
• Experience in boosting algorithms and ability to work with huge amount of data
• BSc in Computer Science, Mathematics or similar field; Master’s degree is a plus

• 3+ years of experience, deep skills in Machine Learning\Data Science;
• Hands-on experience with machine learning concepts: regression and classification, clustering, feature selection, feature engineering, curse of dimensionality, bias-variance tradeoff, neural networks, SVMs, etc.;
• Have professional experience with Python(Scikit-learn, Pandas);
• Experience with Keras/TensorFlow
• Knowledge of Spark (Spark ML/PySpark);
• Understanding of true model validation, p-value, and equivalent;
• Good data manipulation skills are required including cleaning and managing data;

— Strong knowledge of Python (numpy, pandas, scikit-learn, etc.);
— Experience with big data technologies;
— Experience with at least one DL frameworks (Tensorflow, PyTorch);
— Experience in developing model from scratch (problem definition, data collection, feature engineering, model selection, validation, tuning, etc.);
— Deep understanding of classical ML Algorithms;
— Good knowledge of math and statistics;
— Good knowledge of PostgreSQL, MS SQL.

1,5 + years of experience in NLP
Good practical and theoretical knowledge of Machine Learning and Deep Learning
Experience with Python3, tensorflow/pytorch, gensim, spaCy, nltk
Knowledge of advanced algorithms and approaches to solving NLP problems
Solid math skills (Probability Theory, Mathematical Statistics, Linear Algebra)
Good communication skills
Intermediate+ level of English
Proficient experience in Python

Знання T-SQL на рівні “впевнений користувач”;
Знання Excel - на рівні “впевнений користувач”;
Python - буде додатковою перевагою;
Досвід роботи на аналогічній позиції від 1 року.

• Досвід роботи на аналогічній посаді від 2х років;
• Досвід роботи з Deep Learning фреймворками (Tensorflow / PyTorch) — обов`язково
• Впевнене володіння Python 3.х,VCS (git), CI/CD практиками;
• Досвід розробки мікросервісів та API (flask, fastAPI, etc.);
• Впевнене володіння ML інструментами для аналізу та візуалізації даних (scientific Python toolkit — numpy, pandas, scikit-learn, etc.);
• Впевнене знання теоретичних аспектів машинного навчання — боротьба з перенавчанням, валідація, метрики, підбір гіперпараметрів, інтерпретація результатів, плюси/мінуси різних підходів та моделей — та відповідний практичний досвід;
• Досвід роботи з інструментами контейнеризації та оркестрації (docker, Kubernetes etc.)
• Критичне мислення, вміння працювати як самостійно, так і у команді / лідити міні-проекти;
• Знання вищої математики, статистики та теорії ймовірностей: перевага віддається освіті, пов’язаній з комп’ютерними науками.