Жұмыс орындары

• Management of a team of product analysts, planning sprints, grooming, stand-ups, and one-to-one meetings
• Implementation of the backlog and analytical support and validation of new product features
• Come up with ideas for improving current analytics, dashboards, and metric stands inspired by approaches inside and outside
• Communicate with product managers and leaders of functional teams and turn discussions into analytical projects
• Conduct in-depth analysis, design and A/B testing, seller, product, and user segmentation research to extract data-driven insights for product optimization
• Present the results of the team and the product, as well as product recommendations aimed at improving current indicators

• Experience in the field of product analytics, data analysis, or a similar role
• Experience leading small teams and the ability to build a transparent process
• Knowledge of SQL, Python
• Knowledge of statistical analysis methods and A/B testing
• Be able to write complex, optimal queries in ClickHouse, Vertica and Postgres
• Proficiency in data visualization tools (Superset, Redash, and Grafana)

• Experience with advertising or near-advertising products
• Experience in using pySpark within the Hadoop big data ecosystem (or similar systems and frameworks)

@masha_itozon

• Develop and maintain firmware in C/C++ for embedded systems
• Make robots moving by accepting signals over the network
• Write plugins for VR/Computer Vision application
• Work collaboratively to design and implement new features
• Integrate third-party libraries and APIs
• Debug and optimize code for performance and robustness
• Interface with hardware engineers to develop holistic embedded solutions

• At least 3 years in embedded development using C/C++
• Experience with Arduino, ESP32, or similar platforms
• Knowledge of wireless communication protocols like WiFi, Bluetooth, LoRa
• Understanding of memory management in embedded systems
• Proficient with Git or similar version control systems
• Solid debugging skills
• Effective communication and teamwork skills
• Experience with CMake for managing build systems

• Experience with Computer Vision algorithms
• Knowledge of communication protocols like SPI, I2C, UART
• Communication over network: Socket/WebSocket/TCP
• Basic understanding of electronics

ihar@deovr.com

• Retraining an existing neural network
• Code optimization tasks
• Writing integrations

• Experience in implementing projects in the field of computer vision
• Experience in developing AI applications in C++, especially convolutional networks
• Knowledge of the PyTorch library
• Experience with CUDA libraries
• Knowledge of OpenCV library
• Experience with TensorRT

@tm17m

• Research: fine-tuning the most advanced medical LLM from Google — MedPalm-II, Vertex AI, DaVinci from OpenAI, Bard from Google, and open source models
• Product tasks: rapid improvements to the dialogue flow that directly affect retention and are mostly solved through prompts, e.g. making the dialogue not seem like an interrogation, in addition to question-answers there should be a chatty model

• 2-3 years of NLP experience, good level of Python
• Very strong interest in LLMs and research (you will have the opportunity to check with top researchers from Google weekly)
• Interest in prompt engineering and no snobbery about it

@annzrva

• Develop and maintain our data warehouse and data pipelines
• Collaborate closely with data analysts to identify insights and generate business analytics reports
• Support and enable Management, Software Engineers, and Product Owners to use data more efficiently
• Utilize data-driven approaches to facilitate the team’s decision-making process

• 5+ years of relevant experience in data engineering
• Strong programming skills in Python
• Solid understanding of both relational and non-relational databases
• Experience working with ETL tools such as Airflow, Fivetran, etc.
• Proficiency in DBT
• Familiarity with streaming technologies like Kinesis, Kafka, etc.
• Knowledge of CI/CD
• Familiarity with Docker

• Familiarity with additional programming languages such as Go, Scala, Java, etc.
• Experience with BI tools such as Tableau, Metabase, etc.
• Familiarity with machine learning (ML) concepts and techniques
• Experience with MLOps practices
• Background in data analytics
• Previous experience as Software Engineer / SRE / DBA

natalia@deovr.com

• Погружение в поведенческий паттерн сегментов клиентов по занятию спортом для поиска точных ответов по различным бизнес-задачам
• Проведение AB-тестов для продукта и различных офферов
• Построение дашбордов в Power BI для ключевых метрик компании
• Поддержка и переобучение ML-моделей

• Релевантный опыт не менее 1-го года
• Отличная математическая база, знание статистики и обширный опыт применения этого на практике
• Умение построения витрин PowerBI и желательно DataLens
• Продвинутые навыки программирования на Python и SQL
• Базовые знания в ML

assem.ye@1fit.app
@asemokster

• Решение разнообразных задач, включая создание чат-ботов, анализ данных, создание инструментов, которые могут повысить удовлетворенность клиентов и доход компании

• Умение писать код на Python и знать основные библиотеки, связанные с машинным обучением, такие как numpy, pandas, tensorflow (или keras, pytorch)
• Опыт внедрения моделей машинного обучения в производство
• Умение писать SQL-запросы и иметь опыт работы с базами данных
• Базовые знания и опыт в разработке программного обеспечения (git, bitbucket и т.д.)
• Свободное владение казахским языком

@sakdian

• Participation in the development and creation of the image generation pipeline
• Enhance our image generation pipeline: generate advertisements based on product and influencer identities, align tech goals with business objectives

• Experience with training and inference pipelines for image generation
• Experience with training models
• Basic data engineering skills
• Able to draft requirements for the data labeling team
• Ability to improve the pipeline based on new papers and past experience
• Proficiency with academic papers for improving the pipeline
• Understanding of business growth trajectories and aligning tech objectives with them
• Minimum of 2 years of commercial development experience in PyTorch
• Minimum of 5 years in commercial development overall
• Familiarity with DM architectures
• Proficiency in reading academic papers
• B2+ English proficiency
• Understands how certain features affect product business metrics
• Capable of proposing multiple solutions for a feature and can implement the chosen one
• Able to quickly solve tasks while avoiding shortcuts

• Familiarity with PytorchLightning

vadims@fameflow.ai
@vadimchashechnikov