Deep Learning

2+ years of industrial experience;
Strong knowledge in Python;
Practical experience with deep-learning on TensorFlow/PyTorch;
Hands-on experience in machine learning and deep learning models development (Time-series is a significant advantage);
Strong knowledge of statistical and probability theory;
English — Intermediate+.

• опыт разработки ML-моделей от 2-х лет
• опыт разработки ПО на Python от 2-х лет
• уверенное знание Python
• опыт работы с Flask, Docker
• умение работать в команде

• 2 years in ML development;
• Strong technical skills regarding data analysis, statistics, and programming;
• Working experience in using Python;
• Research mindset and math-oriented intelligence;
• Experience with NN frameworks as PyTorch, or TensorFlow;
• Python for DS (Pandas, NumPy, Sklearn, SciPy, etc.);
• Experience with Data Visualization tools and services (Google Data Studio, Graphana, Looker, Tableau);
• Strong SQL knowledge;
• Natural Language Processing(NLP) understanding, working with text;
• Good technical written English.

Experience in any of the following areas for at least 2 years: fintech, banking, consulting, IT, web analytics, marketing
Deep skills in machine learning\data science
Expert use of SQL
Expert use of environments for statistical computation and data analysis (R or Python)
Bachelor or Masters degree in mathematics, physics, engineering or computer science
Mid-level English: reading and understanding documentation and written communication

• 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.

• A degree in Biomedical Engineering, Statistics, Computer Science;
• 3+ year’s of relevant experience;
• Proficiency with Python and associated machine learning libraries such as Numpy, Pandas, Scikit-Learn, TensorFlow/Keras/PyTorch;
• Solid knowledge of ML solutions design patterns;
• Working knowledge of AI/ML and Data Engineering tools in any major cloud platform such as GCP, AWS, or Azure;
• Hands-on experience with ML operationalization;
• Proficiency in querying Relational and Non-relational databases;
• Ability to innovate features and models beyond basic routines to meet performance objectives;
• Proficiency in implementing innovative solutions and techniques based on academic data science and machine learning literature;
• Passionate for developing products to serve patients and make lives better;
• Drives towards a positive outcome as the work you will do will directly impact the standard of care worldwide;
• Entrepreneurial, independent, and collaborative;
• Proficiency in English and excellent written and verbal scientific communication and time management skills.

Upper-Intermediate English (B2) or higher;
A BS or higher in computer science or a related field;
4+ years of experience in software development;
2+ years of experience in Data Science;
Extensive knowledge of and practical experience in Machine Learning, Recommender Systems, and Algorithms;
Understanding of Machine Learning techniques like Linear Regression, Decision Trees, Collaborative Filtering, Anomaly Detection, etc.;
Practical experience with high-level programming language like Python and DS frameworks;
Proficiency in database query languages such as SQL;
Understanding of the ETL process;
Knowledge of Linear Algebra, Probability and Statistics, and Numerical methods;
Understanding of software development process, Agile approach, and CI/CD.

-2+ years of industrial experience;
-Strong knowledge in Python;
-Practical experience with deep-learning on TensorFlow/PyTorch;
-Hands-on experience in machine learning and deep learning models
development (Time-series is a significant advantage);
-Strong knowledge of statistical and probability theory;
-English – Intermediate+.

-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