Deep Learning

1+ year of experience using the following technologies

• Python
• OpenCV
• Keras/Tensorflow or some neural net library and/or some background knowledge on the subject of neural networks

– 3+ years experience in Data Science and/or Machine Learning
– Solid knowledge of Python and R programming languages
– Advanced knowledge and experience in methods for classic machine learning and deep learning, data science, and BI
– Applied statistics knowledge (Design of Experiments (DOE), Multivariate Statistics)
– Solid knowledge of SQL
– Upper-intermediate English (ability to freely communicate and lead a conversation with English-speaking teams)

• Python, Scala, Apache Spark
• SQL/NoSQL databases, ETL, big data
• Knowledgeable in statistics
• Experience with setting up CI/CD pipelines for ML and DS needs
• Expertise in OOP, software design and best practices

Відмінні знання вищої математики, теорії ймовірностей, математичної та прикладної статистики (економетрики)
Знання SQL на рівні побудови складних запитів (що вимагають розуміння принципів побудови реляційних баз даних і вміння їх використання для оптимізації виконання запитів)
Досвід роботи більше 2-х років з Python/R (статистичні та ML пакети)
Глибоке розуміння і досвід застосування алгоритмів і методів машинного навчання
Аналітичне мислення, вміння знаходити закономірності в досліджуваних масивах даних, причини відхилень показників

— Experience with the following languages/frameworks: Python, C++; Pytorch / Tensorflow /Keras/ OpenCV;
— Advanced understanding and working experience of various fundamentals and concepts of computer vision
and machine learning;
— Good understanding of low level image processing, noise filtering, segmentation feature extraction/matching
techniques;
— Familiarity with architectures for classification tasks: CNN, Faster R-CNN, ResNet; detections: YOLO, HOG;
segmentation: U-Net, DeepLab, PSPNet;
— Previous direct experience of video analytics algorithm/system development for specific problems

• Advanced degree (Ph.D. preferred) in engineering, science, mathematics or related subjects
• Expert knowledge of statistical programming languages such as R or Python, and SQL.
• Readiness to work with engineering teams to develop prototypes of software products leveraging exploratory data analytics.
• Expert knowledge of data visualization, using tools such as Tableau or PowerBI.
• Expert knowledge of Experimental Design and Statistical Decision Theory.
• Solid knowledge of distributed data storage and computing, including Hadoop or Cassandra.
• Practical knowledge of cloud computing, including AWS (preferred) or Azure and highly scalable databases, such as Dynamo DB.
• Knowledge of NoSQL databases, such as MongoDB.
• Great communication skills in English.
• 5+ years working and communicating with business stakeholders as a trusted adviser in data science.
• 5+ years translating business requirements into data science problem statements and execution tasks.
• In-depth understanding of the machine learning lifecycle.
• Practical skills with agile software development methods such as Scrum and Kanban

With good theoretical and practical knowledge of the computer vision algorithms, neural networks, and deep learning in the field of computer vision (CNN, RNN, autoencoders, GAN)

Highly skilled in machine learning methods application

With an exceptional mathematical base (algebra, probability theory). Functional analysis proficiency will be a big advantage. Math faculties education is preferred

Python coding, Git , Ubuntu, DVC

Experienced in Keras, Tensorflow, PyTorch, OpenCV

Able to conduct research autonomously and proactively (incl. studying math articles and applying the knowledge in practice)

Striving to develop solutions completely new to the market, to the industry and to the world.

Experience in Machine Learning 1-2 years;
Practical skills with Deep Learning (TensorFlow / PyTorch / Keras) on similar media projects;
Good practice in CNN, frequency, GAN
Expertise in NLP (Natural Language Processing);
Desire to work in Security (Malware Analysis);
Previous skills in Python/Pandas, Redis, Git, RabbitMQ, JS/ CSS/HTML, JSON, Vanilla JS, AJAX, SQL/MySQL/PostgreSQL, PHP, Ruby, Ajax, API, Go, Java, C, C++ etc;
Excellent knowledge of web architecture & existing social media
DataScience skills will be an advantage
Higher technical education;
Technical English (higher level is advantage);
Hacking thinking is a must

(MLOps, ML, Data Analysis, Python, SQL, ETL, Visualization, Wiki)
Technical or Economics Degree
3+ years of corresponding experience
Experience with MLOps (preferably DVC, MLflow, Airflow, Flask, Docker, Git, etc.)
Strong Machine Learning and Data Analysis skills
Experience with ML frameworks (TensorFlow/Keras, etc.)
Strong Python and SQL
Experience with ETL and visualization tools
Good understanding of DWH & Data Lakes architecture
Good documentation skills
Intermediate English level or higher

• 2 years of commercial experience preferred;
• Extensive experience in Cloud technologies and tools such as AWS;
• Proficiency in the use of Python (Pandas, sklearn, numpy, TensorFlow or PyTorch);
• Extensive Data Analysis skills, Data Processing;
• Demonstrated proficiency in the use of SQL;
• Experience with Git;
• Experience with CI/CD.