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victoria åhl bingsmark
201434171
Today, Ekkono’s edge machine learning library is making a wide range of devices smarter and more efficient, from trucks and heat exchangers to coffee machines and ventilators. But now we’re taking things even further with Federated Learning, enabling devices to learn from each other without sharing data.
We’re looking for a Lead Architect to take a crucial role in the development of Ekkono’s new Federated Learning product. As the Lead Architect, you will be responsible for making critical design choices such as: how the machine learning models are delivered to the cloud, how they are orchestrated, versioned, and stored over time, and how federated learning algorithms are applied and load balanced. You will work alongside highly knowledgeable colleagues, discussing alternatives and making crucial decisions on where to take the project next.
If you’re excited about the possibilities of Federated Learning and want to play a key role in shaping the future of industrial IoT, we want to hear from you. Join our team at Ekkono and help us take edge machine learning to the next level! …
You apply directly at www.randstad.se, no later than 2023-05-31. We review applications on an ongoing basis and the position might be filled before the last application date – so don’t hesitate to apply today. If you have any questions about the position you’re welcome to contact Recruitment Consultant Victoria Åhl Bingsmark at [email protected].
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- Experience in designing and developing products and services, including defining technical requirements, selecting appropriate architecture and technologies
- Experience of cloud solutions with an understanding of the possibilities of building distributed systems
- Experience in software product development of for example software platforms for customers/external parties
- Experience with Python
- Experience in data processing for large-scale data processes
- Knowledge of database techniques and smart information storage
- Fluent in English
- Experience with some form of data visualization such as Tableau, QlikView, Power BI or D3.js
- Experience with AWS
- Understanding of Machine Learning Operations/MLOPS
- Experience in developing IoT solutions, for example from having built an IoT platform
- Investigating and deciding upon which existing techniques can be leveraged and which should be developed. Decisions that need to be made include how to communicate between edge and cloud, how to store and version models, and how to orchestrate and load balance machine learning components.
- Designing a robust and flexible software architecture.
- Making decisions regarding the application such as software design, middle layers, design patterns, architecture, and cloud solutions.
- Steering product development and guiding colleagues working in the product team
- Hands-on software development and prototyping. As we are still a small company, you can expect to be hands-on and develop both prototypes and core functionality.
- Högskola/Universitet
kvalifikationer
It is meritorious if you have:
As a person you are a doer with an interest in prototyping. It comes naturally for you to plan your work and to handle complex challenges in order to solve problems. You are comfortable working independently and to take initiatives in order to get things done. You are clear in your communication with an ability to guide colleagues and lead discussions regarding technical decisions.
ansvarsområden
As the Lead Architect, you will have the responsibility of choosing the architecture and technologies to be used in Ekkono’s new cloud-based product, Synthesis. You will work collaboratively with Developers and Data Scientists and have the technical expertise required to understand how to build the product. Your role as the key decision-maker in determining technical solutions will be crucial to the success of this project. The ultimate objective is to bring this product to the cloud, utilizing the best technologies available, and making it compatible with a distributed environment of IoT devices. Ekkono’s current Core product is built in C, C++, and has Python bindings.
Your work tasks will include:
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