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About the Role We are looking for a skilled and motivated Machine Learning & Signal Processing Scientist to join our team. In this role, you will work on processing and analyzing multi-source environmental and sensor data, including satellites, drones, and in-situ measurements. Your work will focus on extracting meaningful signals from noisy data, developing robust algorithms, and modeling physical phenomena using advanced statistical and Machine Learning techniques.

Responsibilities:
Key Responsibilities
* Process and analyze multi-source sensor data, with a strong focus on noise reduction and signal quality improvement
* Develop and apply time series models to characterize and predict signal behavior
* Design and implement Machine Learning and deep learning models (e.g., CNNs, RNNs) for spatial and temporal signal analysis
* Build algorithms for detection, classification, and quantification of physical phenomena
* Validate models against real-world data and ensure scientific robustness
* Communicate results clearly through visualizations, reports, and presentations to technical and non-technical stakeholders
* Collaborate closely with cross-functional teams to refine and deploy solutions Qualifications
* 3+ years of experience in signal processing and Machine Learning
* Strong expertise in:
* Noise filtering and signal enhancement
* Time series analysis and modeling
* Experience with Machine Learning and deep learning frameworks
* Familiarity with multi-source sensor data (satellite, drone, or in-situ measurements)
* Experience with remote sensing data, including multispectral and hyperspectral imagery
* Strong programming skills in Python (or equivalent)
* Excellent problem-solving skills and attention to detail
Advantage
* Experience with generative AI or advanced representation learning
* Advantage, use of AI/ML Agents (Claude Code) for enhancing productivity
* Background in geospatial analysis or environmental data Education MSc in Physics, Geophysics, Earth Sciences, or a related scientific field (PhD is an advantage)
Job type:
Hybrid

The System Integrator is in charge of assembly & integration of the products subsystems, while integrating its applications to the system, deploy unit and system level experiments and tests.
We are seeking a skilled System Integration Engineer to join our dynamic team. As a key member responsible for integrating various components of our multidisciplinary product, you will be ensuring seamless collaboration between hardware and software elements.
Key Responsibilities
In this role, you will
Design and implement system integration for combining diverse hardware and software components into a cohesive product.
Collaborate with cross-functional teams to understand product requirements and specifications.
Develop and execute test plans to validate the functionality and performance of integrated systems.
Troubleshoot and resolve issues related to system integration, ensuring timely and effective solutions.
Interface with hardware and software teams to facilitate communication and streamline integration processes.
Document integration procedures, configurations, and troubleshooting steps for future reference.
Conduct risk assessments and implement mitigation strategies to minimize integration challenges.
Code and run test scripts (mainly Python).
Testing of multi-disciplinary systems
Maintaining the devices, analyze problems and repair.

We are looking for a System Engineer Expert to drive the system vision, architecture and design requirements of multi-disciplinary state of the art 3D imaging medical systems.
The System Engineer is required to understand the user needs, product constraints and be responsible for defining the architecture and system requirements for the medical device. The work process is focused on balancing implementation complexity, clinical constraints , risks, manufacturability, serviceability and quality to conclude the optimum design alternatives. He is required to work closely with the product managers, customers, QA/RA and design teams from needs translation to requirements and architecture to allow development plans up to design transfer to production.
Key Responsibilities
Master multi-disciplinary system including Electronics, Mechanics, Algorithms, Software (embedded and application),Physics and optics, lead and develop the architecture and requirements of such systems.
Analyze design alternatives for all the system features , such as design complexity, timelines and risks, technical and clinical performance, manufacturability, cost, etc., and lead the technical decision making while collaborating with cross-functional peers within and outside R&D.
Work with program managers to create and manage project schedules.
Design and lead lab experiments and integrations, analyze and solve problems of real complex systems in lab, in production, or in the field.