Вакансии и проекты на Rubrain.com

Актуальные заказы по Data Analysis

Company published in 1997, was built from the ground up to specialize in new product development and R&D, tackling the most difficult problems in the tech sphere. Now company expanded to offer early-stage innovation and ideation plus digital transformation business consulting. Company's superpower is to deliver all of this under one roof on a global scale.

Responsibilities:

• Design, develop computer vision systems and systems for video analysis.

• Prototype proof-of-concept (POC) solutions for specific computer vision and machine learning problems to validate ideas.

• Lead projects from prototype to production.

• Identify and resolve performance and scalability issues.

• Actively participate in the team’s software development processes.

Requirements:

required experience 5+ years

• Strong experience in computer vision. Hands-on involvement in the development of multiple Computer Vision projects that have been deployed to production.

• Strong foundational understanding of Machine Learning concepts and how they apply to Computer Vision tasks.

• Strong expertise in processing and analyzing image and video data.

• Hands-on experience developing and fine-tuning models for segmentation, pose estimation, and object detection.

• Proficiency with deep learning frameworks such as PyTorch and TensorFlow.

• Excellent object-oriented programming skills, with the ability to write high-performance, production-quality code in Python.

Proficient in English for effective communication.

Start Date:

As soon as possible (subject to a thorough review and interview process by Softeq and the client).

Location:

100% remote work; must have the ability to work overlapping hours with Eastern Standard Time (EST).

Team Lead Python Git Machine Learning Tensorflow CI/CD methodologies PyTorch

Удаленно

Full-time

Требуется специалист в Отдел архитектуры данных на проект крупной компании в сфере фармацевтической торговли. Компания более 25 лет осуществляет комплексное обеспечение современными лекарственными средствами и изделиями медицинского назначения в области редких наследственных и социально значимых заболеваний. Осуществляет полный цикл по логистике, продвижению и выводу препаратов на рынок.

Информационная архитектура UML Data Analysis

Офис

Full-time

Multinational company - leader in digital services is seeking an experienced Business Intelligence / Data Visualization Engineer to join a team passionate about data science and delivering cutting-edge visualizations & insights across the entire portfolio.

About the company:

The team’s culture is centered around rapid iteration with open feedback and debate along the way. They encourage independent decision-making and taking calculated risks. Data Science & Analytics collaborates with partners across product, design, engineering, marketing, editorial, and business teams. They produce insights to drive decisions that enhance the customer experience, accelerate growth, and uncover new business opportunities while respecting user privacy.

About the project:

This role will require working with internet-scale data across numerous product and customer touchpoints, undertaking in-depth quantitative analysis, and distilling data into actionable and intuitive visualizations to drive informed decision-making across all levels of the company.

Job Description:

Build dashboards, self-service tools, and reports to analyze and present data associated with customer experience, product performance, business operations, and strategic decision-making.
Create datasets, Develop global dashboards, data pipelines, sophisticated security controls, and scalable ad-hoc reporting
Closely partner with the Data Science team to define metrics, datasets, and automation strategy.

Key Qualifications:

5+ years of experience in a Data Visualization, Data Scientist, or Data Analyst role, preferably for a digital subscription business.
Strong proficiency with SQL-based languages is required. Experience with large-scale data technologies such as Hadoop, PySpark
Proficiency with data visualization tools such as Tableau, PowerBI, and Microstrategy for analysis, insight synthesis, data product delivery, and executive presentation.

Soft-skills:

Curious business mindset with an ability to condense complex concepts and analysis into clear and concise takeaways that drive action.
Excellent communication, social, and presentation skills with meticulous attention to detail.
Strong time management skills with the ability to handle multiple projects with tight deadlines and executive visibility.
Be known for successfully bridging analytics and business teams, with an ability to speak the language of both.
Able to communicate and collaborate across many different teams, has an agile approach to solve challenging problems quickly, and stresses the details.

Data Analysis Data Visualization Data Science

Удаленно

Full-time

Проектная занятость

Project:

Building the app for gig workers to synthesizes all the data across various apps to become a personal dispatch system (whether looking for work, actively optimizing how they spend time, or trying to understand their financial life).

The company's mission is to build a better gig economy by giving gig workers the tools they need to support their business, helping them earn more and stress less.

Responsibilities and requirements:

Understand how a company’s internal APIs work by looking at their apps
Consistently ship user-facing features
Read, write, and review design docs for product features and architecture changes
Understand and be able to reverse engineer authentication processes both in web and mobile apps
Have experience with one or more dynamic or static analysis tools like Frida, Ghidra, IDA Pro, Jadx, etc.
It would be nice if you have experience with Typescript and Google Cloud Platform

Soft-skills:

Motivated to make work easier for the millions gig workers
Always think the best software solution won’t be designed but iterated
You prefer solving two problems reasonably well to solving one problem extremely well

Remote, Full-time What you'll be doing: - Run Encode/Decode performance, encoding efficiency and power tests through a specialized automatic test system - Compose competitive analysis reports for internal and external customers - Communicate the benchmarking results with sales, software, and hardware teams - Improve Hyperscale Video Encode/Decode automated benchmarking system for Linux and Windows - Monitor benchmark server farm and set up networking What we need to see: - BS in Computer Science or similar experience - Advanced user Windows knowledge - Basic Linux knowledge - Experience in automated testing - Experience in data analysis (basic) - Experience with basics of script languages (Python is preferred) - Good written and spoken English (Intermediate) Ways to stand out from the crowd: - Experience with FFMPEG, hardware and software video codecs - Experience with benchmark or test automation development - Experience with C/C++ or deep Python data manipulation and visualization knowledge

Python FFmpeg Linux

DevOps Engineer / Incident Manager for CP ( в проект работы с платежами). Офис, Минск. Фуллтайм. Проект называется KYC/KYT это проект в их антифрод, то есть заниматься команда будет разработкой связанной с их системой FXBank. LIBERTEX — является ведущим международным брендом на рынке финансовых услуг, и одним из лидеров в мировой розничной индустрии Форекс. Компания 23 года на рынке, на сегодняшний день имеет более 100 отделений и представлена во многих странах мира. Работа компании отмечена многими престижными наградами. В LIBERTEX продуктовая, а не заказная разработка. Мы постоянно экспериментируем, развиваем наши сервисы и запускаем новые. О команде: В команде есть backend и frontend разработчики, несколько тестеров и специалист по автоматизации тестирования, аналитик, дизайнер, менеджер по продукту. Мы пишем расширяемый код, который легко поддерживать и переиспользовать. Много общаемся внутри команды, оптимальные решения находим вместе. Используем практику code-review Работаем по Scrum и используем SAFe для планирования взаимодействия с другими командами. Мы используем в наших продуктах технологии: HTML5, Css3, Vue.js, Thymeleaf, Webpack; Java, Spring Boot; Oracle, Postgress, Kafka, ActiveMQ; AWS, ELK; Git. Описание вакансии: DevOps Engineer / Incident Manager for CP Description Libertex is an international financial services group specializing in online trading and investment. It was founded as a brokerage firm in 1997 and has since grown into a diverse group of companies, brokers, dealers, educational and IT-development centers which allows the group to operate globally, target 27 countries and serve clients from 120 countries. Through its proprietary mobile and online trading platforms, Libertex offers trading in Forex, crypto, stocks, CFDs, futures, funds and indices. The company has received more than 100 international awards and recognitions including, most recently, being named “Best Trading Platform 2020” by World Finance Magazine and “Best FX Broker Europe 2020” by Forex Report. The Group continues to build upon this foundation and invest in emerging opportunities. As Libertex moves into the future, it will continue to invest in human resources, technology, and infrastructure enabling it to continue being a leader in the financial services industry. Requirements What Will You Do? Investigating the source of disruptions in an IT lifecycle Making corrective measures to normalize problems in services and operations Taking necessary actions to reduce incident repetition Closing an issue after implementing root cause analysis Incident communication, alerts and notifications, collaboration in a problem resolution Task management (data collection, association, description), lifecycle management Automate reporting, implement dashboards, scorecards, KPIs Automate workflows Deploying, automating, maintaining and managing AWS cloud based production system, to ensure the availability, performance, scalability and security of production systems Build, release and configuration management of production systems Promote DevOps culture Requirements: 1+ years designing, analyzing, troubleshooting, supporting and resolving issues in a multi-tiered application architecture, especially service-oriented and micro-services architecture requiring 24x7 availability. 1+ years’ experience with DevOps tools (Docker, Jenkins, Ansible, Terraform, Chef, Puppet etc.) B2 level of English (IELTS/TOEFL certification is a plus) Basic knowledge of databases: PostgreSQL/MySQL Version control systems: GIT Familiarity with Zabbix or Prometheus Familiarity with Logstash, Kibana, Elastic Search technologies Basic knowledge of networks Linux (and/or FreeBSD) system, Web servers (Nginx, Tomcat) Understanding of REST API, gRPC To have a sense of ownership of role’s area of accountability Good communication skills Good analytical\troubleshooting skills Nice to have: Experience in high-loaded applications implementation Experience as a Software Engineer. Financial, forex, gaming industries preferable. Experience working with JIRA Understanding AWS, GCP or Azure Understanding how the services work with message brokers (Kafka, RabbitMQ, SQS/SNS, ESB (ServiceMix)) Scripting languages: Bash, Python Java, Golang Leadership skills and/or proactive approach of work Personal qualities: Ability to work independently, as well as with others, depending on scope of assignments. Capable of multitasking, prioritizing multiple assignments Perform technical research independently as well as a member of a team Result oriented person Benefits: A very competitive salary in a stable company Regular salary reviews — we reward great work A comfortable office with modern design Peace of mind with medical assurance Work in a friendly professional team Unique international corporate culture Team-building activities and other catching events in IT sphere

ELK Vue.js HTML5 Oracle AWS Spring Boot Git webpack CSS3 Java

Data scientist to develop AI-based BCI solutions based on the eye-tracker and EEG signal. Primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. Responsibilities: Developing data filtering, quality assessment and artefact detection solutions. Doing ad-hoc analysis and presenting results in a clear manner Maintaining data collection experiments and studies. Developing and training ML/DL classifiers on biosignal data. Skills and Qualifications: Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience with common data science toolkits, python/numpy/pytorch Great communication skills, responsibility and discipline. Good applied statistics skills, such as distributions, statistical testing, regression, etc. Good scripting and programming skills Good research skills / experience with working with scientific literature.