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Steadicopter is looking for an experienced software engineer, C# developer, to join our software team.

Responsible for developing and maintaining the ground control system of an unmanned helicopter, from back-end services to client-end.


Key Responsibilities

- Develop HMI software that's in charge of controlling and monitoring an unmanned aircraft.
- Provide technical support to field teams.
- Design, develop and integrate new sub-systems in the UAV (communication, video, etc.).

As AI system Engineer you will have significant impact in our R D projects and specifically computer vision projects, as we ramp-up with new technologies and will lead work groups in our projects as part of the connected devices line of products.

The ideal candidate will have extensive experience in designing the wholistic system solution which includes component selection of video cameras, edge devices, defining communication protocols and designing the cloud backend integration for delivering the full solution and product.

Participant in development of multidisciplinary project end to end Full Stack
The development shall be mostly in C # and C ++
Lead development tasks through all stages gathering requirements, planning, performing DRs and full implementation.
Design and implement various features on a wide range of platforms.
Work closely with system and HW engineers, SW developers, QA and many more.
Perform design and code reviews and system integrations.
Constant collaboration and knowledge sharing with the SW team.

A little about our activity: Specializes in developing and implementing a range of management solutions in systemic, engineering, and technological projects in the construction sector, civil infrastructure, IT, communications, software, Défense industries and the hi-tech industry, combining advanced technologies.

We are looking for a skilled and innovative AI Specialist to join our team and lead the development, deployment, and optimization of artificial intelligence solutions.
The ideal candidate will have expertise in AI technologies, machine learning, natural language
processing, and deep learning frameworks. You will work closely with cross-functional teams to integrate AI into our products and services, solving complex problems and driving business innovation.

Key Responsibilities:
AI Development and Implementation:
-Design, develop, and deploy AI models and algorithms for various use cases such as recommendation systems, predictive analytics, and automation.
-Optimize models for performance, scalability, and real-world application.

Machine Learning Expertise:
-Build and train machine learning models using structured and unstructured
data.
-Implement supervised, unsupervised, and reinforcement learning
techniques as needed.