Data Engineering

• 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

— Experience with Python (C++ is a plus), numpy, pandas, scikit
— Knowledge of classical algorithms and data structures
— Knowledge of classic computer vision algorithms (i.e., Mathematical Morphology, Foreground extraction, etc.)
— Knowledge of opencv library
— Experience of training Object detection, segmentation models using Tensorflow, Keras (Pytorch)
— Experience of video processing
— Expertise in Linux environment
— Ability to learn quickly

⦁ A solid understanding of the fundamentals of statistical prediction and probability theory including (but not limited to) an in-depth knowledge of regression and model fitting
⦁ Intellectual curiosity, creativity and confidence to try new approaches
⦁ Excellent problem solving and communication skills, including communication with non-technical partners
⦁ Programming experience, ideally in Python or R
⦁ Master’s qualifications in a quantitative field (mathematics/statistics/physics/etc), postgraduate/research experience (PhD/postdoc) are preferred.
⦁ Confidence to work with significant autonomy
⦁ Fluent English

1,5 + years of experience in data science or machine learning
Experience with Python3, tensorflow, numpy, scikit-learn, pandas, scipy, gensim, spaCy, nltk
Knowledge of different machine learning approaches and algorithms
Solid math skills (Probability Theory, Mathematical Statistics, Linear Algebra)
Good communication skills
Intermediate+ level of English
Proficient experience in Python

● 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, Developing custom ML Model based on requirement
● Good knowledge of machine learning libraries (like Scikit-learn, NLTK, spacy etc.)
● Strong programming knowledge in Python, Flask, NumPy, Pandas etc.
● Good knowledge in statistics and algorithms
● Experience in image recognition or OCR technology

• 4+ years in machine learning related field
• Python3, numpy, scikit-learn, pandas, scipy
• Solid understanding of most modern ML algorithms and approaches
• Good math skills (Probability Theory, Mathematical Statistics, Linear Algebra)
• Excellent presentation/communication skills
• Good written and spoken English
• Strong organizational and leadership skills
• A business mindset

• At least 3 years of hands-on development of complex Machine Learning models using modern frameworks and tools, ideally Python based.
• Solid understanding of statistics and applied mathematics
• Experience in the Telecommunication domain and/or Fraud prevention or Telecom signalling
• Experience with Hadoop Big data
• Creative thinker with a proven ability to tackle open problems and apply non-trivial solutions.
• Experience in software development using Python, Java or a similar language.
• Any Graduate or M.Sc. in Computer Science, Mathematics or equivalent, preferably in Machine Learning
• Ability to write clean and concise code

• 4+ years of ML experience
• Experienced at Python3
• Strong problem-solving skills with an emphasis on product development
• Proven experience in industrial production projects
• The ability to create model E2E and its production maintenance

Data scіentіst wіth 5+ years of experіence
Solіd understandіng of Statіstіcs, Machіne Learnіng and Deep Learnіng
Hands-on experіence іn Python
Experіence wіth Recommender Systems (Content-Based, Collaboratіve Fіlterіng, Hybrіd, Market Basket Analysіs, Repeat Purchase)
Experіence wіth look-alіke modelіng and sequentіal-іnput models, RNNs (LSTM, GRU, etc.)
Expertіse іn buіldіng, productіonіsіng and scalіng analytіcs solutіons for bіg data problems
Experіence wіth SQL databases
Famіlіarіty wіth cloud ML Platforms (Google AI Platform, Amazon Sagemaker, MS Azure AI Platform) іs a plus.
Hands-on experіence wіth data preparatіon, cleansіng, feature engіneerіng, and vіsualіzatіon
Great communіcatіon and presentatіon skіlls. Proven abіlіty to present progress made by the team to senіor busіness management and the project stakeholders.
Understandіng of and experіence wіth customer іntellіgence & marketіng domaіns a plus.
Experіence іn workіng across dіfferent global cultures a plus

углубленные знания в области машинного обучения, интеллектуального анализа данных, рекомендательных систем,
знания математической статистики и теории вероятности,
понимание современных методов и алгоритмов машинного обучения деревья решений, случайный лес, нейронные сети, ближайшие соседи и др.,
опыт разработки моделей машинного обучения на Python 2+ года,
владение SQL, понимание процесса ETL,
английский не ниже Pre-Intermediate чтение и понимание технической документации.