EchoGlobal — вакансии
- Outstaff
- 11-50
- 2013
- Львів, Tallinn, London
- Advertising / Marketing, Cloud technologies, Education / EdTech, FinTech, GameDev, Hospitality, Real Estate, Software Development & Hi-Tech
Актуальные вакансии компании
- Microsoft Azure
- Datadog
- IaC
- C#
- TypeScript
The company’s main web application is hosted in Azure cloud ecosystems. The web front-end of this system is constructed with React and HTML/CSS, while the back-end is built in Java and utilizes Hibernate and Postgres databases. The Java staff is hosted through Docker containers which are built on the Kubernetes cluster. This product is the hub for numerous related services and integrations. They have lots of microservices architecture. A team constantly growing, learning, and experimenting with other technologies including 3D modeling.
The role is all about monitoring. You will be creating dashboards, setting up alerts in Azure, and doing whatever is needed to keep the apps running smoothly. That’s the DevOps side of the job. On top of that, you should be able to work on the app code (C#/TypeScript) to add anything needed to collect more data for monitoring. That’s the developer part of the role.
Requirements
- 5+ years of commercial experience;
- Extensive experience with Azure, including provisioning, managing, and optimizing cloud resources for reliability and scalability;
- Experience with monitoring and analytics tools, especially DataDog;
- Proficiency in using IaC tools for automating cloud infrastructure management and deployment;
- Ability to code using C# and/or TypeScript;
- Proactive approach to identifying problems, performance bottlenecks and areas for improvement.
Responsibilities
- Run the production environment by monitoring availability and taking a holistic view of system health;
- Measure and optimize system performance, with an eye toward pushing our capabilities forward, getting ahead of customer needs, and innovating for continual improvement;
- Provide primary operational support and engineering for multiple large-scale distributed software applications;
- Gather and analyze metrics from operating systems as well as applications to assist in performance tuning and fault finding;
- Partner with dev teams to improve services through rigorous testing and release procedures.
English Level – Upper-Intermediate / Advanced. The candidate should be able to clearly communicate and deliver their ideas.
Work Schedule and Timezone – Flexible 8hr/day Mon – Fri. Minimum 2-3 hours overlap with the CST (Chicago) time.
- Flutter
- Python
- SQLite
- TensorFlow Lite
Our customer is a photo-sharing platform focusing on on-device machine learning to organize photos by categorizing people, places, objects, and timestamps. The app is built on Flutter and powered by TensorFlow Lite, prioritizing privacy by processing data locally.
Responsibilities
- Integration and optimization of machine learning models to organize photos by detecting and categorizing people, places, objects, timestamps, and other metadata.
- Enhance ML stack by implementing face detection, object detection, scene recognition, image quality/type assessment, and location/mode/timestamp extraction.
- Optimize models for mobile performance, including caching and hardware acceleration.
- Seamlessly integrate ML models with the app’s local database (SQLite) and ensure efficient real-time processing.
- Develop processes and infrastructure to support the deployment of new models, including model training and testing frameworks.
- Collaborate with the project manager, founder, and CTO to refine requirements and coordinate technical decisions.
- Maintain and improve test documentation, including unit and integration tests for ML components.
- Ensure consistent performance, stability, and scalability of the ML features.
Requirements
- Technical Skills:
- Proficiency in Flutter and TensorFlow Lite, with strong knowledge of on-device ML model deployment.
- Familiarity with Python for model training and computer vision tasks.
- Experience with hardware accelerators (GPU, NNAPI) for mobile ML model optimization.
- Solid understanding of image classification, metadata extraction, and real-time processing.
- Proficiency in optimizing and integrating ML models into mobile apps, with a focus on performance and scalability.
- Knowledge of SQLite for local data storage integration.
- Nice to have:
- Experience in image classification, metadata extraction, and/or hardware acceleration optimization.
- Soft Skills:
- Ability to work independently as the sole developer on ML integration.
- Excellent problem-solving skills and a collaborative approach to teamwork.
- Strong communication skills to engage with C-level team members and stakeholders.
- English Level Advanced. The candidate should be able to clearly communicate and deliver his ideas.
- Work Schedule and Timezone
- Flexible, with availability across time zones in Ukraine, Israel, and London. (8hr/day)
Преимущества для сотрудников EchoGlobal
- Work-life balance
- Бухгалтерський супровід
- Компенсація навчання
- Надається ноутбук
- Оплачувані державні свята
- Оплачувані лікарняні
- Юридичний супровід
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