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we are looking for a Field Service Engineer
Job Description
Installing, commissioning, maintaining, optimizing, and repairing sensor-based sorters Recycling installation bases.
Ensuring maximum performance of sorting systems in the field, prioritizing customer satisfaction.
Delivering exceptional customer experiences through effective communication and support.
Optimizing sorting systems/processes through sampling and testing.
Identifying opportunities to add value to our customers' businesses by introducing complementary products, solutions, and services.
Serving as a liaison between customers and Headquarters, gathering and providing market feedback to continuously improve customer service and identify new opportunities.

we are a growing startup, for developers - by developers. By using our, local changes made by the developer are being reflected on the remote existing Kubernetes environments, allowing a faster development and debugging experience without complex configurations. All this is done with an exceptional developer experience and ease of use.
We are looking for an experienced Automation Engineer to join our team.
As a Senior Automation Engineer and as the first one in our company, you'll be at the heart of our R&D department, working closely with engineers, customer success and product managers to define and develop tests for our solution.
What you will do:
Take the initiative in version testing and pre-release processes, ensuring our products meet rigorous quality standards
Design and execute end-to-end tests for new features and existing functionalities using Playwright and TypeScript, Remote Robot and Kotlin and from time to time, manually.
Lead the development and optimization of our automation infrastructure, improving efficiency and effectiveness
Manage the feature-bug fixing process, maintaining a tight bug lifecycle from detection to resolution
Dive into customer issues, collaborating with the support team to resolve complex technical problems

Required LOW LEVEL ENGINEER 
What youll be doing
Full project ownership for critical parts of the core products; design and specification, implementation, communication, test plans and delivery.
Develop and maintain the main logic and capability that is running directly on the IOT edge devices.
Liaise with colleagues in engineering, product managers to help prioritize features and define the product roadmap.
Uphold engineering best practices applied across projects and teams.
Mentor and level up fellow teammates with pairing and code reviews.

We are looking for a Clinical AI Specialist.
As part of the Clinical AI team, you will:
Help train AI algorithms by performing anatomical segmentations
Be up to date with recent medical research relating to the our product strategy
Contribute to the creation of the clinical concepts for the products
Help monitor performance of the products
Train and educate the greater team on medical topics.

We are growing and are looking for a Senior iOS Engineer to join our mission in developing life saving software!
About the role:
You'll play a crucial role in shaping and evolving the foundation of our product, overseeing the entire process from designing to implementing a sophisticated iOS native application. Collaboration is key as you'll work closely with diverse teams, including backend engineers, product managers, data analysts, and UX designers, to deliver innovative features that meet the highest standards using the latest technologies available.
You will:
Develop high-quality iOS applications, focusing on performance, scalability, and maintainability.
Collaborate with cross-functional teams to define, design, and ship new features.
Write clean, efficient, and maintainable code following best practices and design patterns.
Conduct code reviews to ensure code quality and adherence to coding standards.
Mentor developers and contribute to their professional growth.
Stay updated with the latest trends and technologies in the iOS ecosystem.
Work closely with UI/UX designers to implement pixel-perfect designs.
Troubleshoot and debug issues, providing timely resolutions.
Participate in architectural discussions and propose innovative solutions.

We are looking for an experienced software Engineer to join our AI group and build our next generation Machine learning infrastructure and enable the research and development of new models.
What will you do?
Work closely with data scientists, data engineers and other stakeholders to streamline, implement and optimize our machine learning models and data pipeline infrastructure.
Design and build automated pipelines and tools for model training, testing, validation, and deployment to ensure smooth and efficient operations.
Manage infrastructure requirements for machine learning projects, including cloud resources, container orchestration (e.g., Kubernetes), and distributed computing systems.
Build and maintain monitoring and alerting systems to proactively identify the models performance and bottlenecks and optimize the systems speed, scalability, and cost.

We are looking for a brilliant, quick-learner Data Engineer for our data engineering team - an independent logical thinker who understands the importance of data structuring for macro-business decisions.
The position combines high technical skills with business orientation, working closely with the analysts and the R&D team, and affecting the company's cross-departments decisions directly. Our Data Engineer should have the ability to speak in technical and practical terms, and more importantly, lead from one to the other, while dealing with challenges and creating them - to make our team even better than it is.
Roles and Responsibilities:
Creating and structuring end-to-end data pipelines & ETLs: from the source all the way to the analysts hands, enabling them the ideal conditions to make smart and data driven business decisions.
Cracking top industry data challenges while initiating and building creative technical solutions - in house Device Graph, Server-to-Server to multiple systems, Privacy challenges, Online-to-Offline and more.
Deep understanding of the business needs, technical requirements and the companys roadmap - and translating it into custom made data solutions and scalable products.
Craft code following best practices to ensure efficiency, while integrating CI/CD principles.
Writing multi-step scalable processes from more than 50 data sources - Marketing. Operations, CS, Product, CRM and more... tying them up to a valuable & useful source of insights for the analysts.
Understanding data challenges and weaknesses, and managing high standards monitoring and reliability processes.