Data & Ai Engineer

PREZIS; Heerlen; Remote; EUR 52,000 - 74,000; Full time

Benefits offered by this job

Travel allowance

Company phone and laptop

R&D role in defense tech

Professional development opportunities

Job summary

PREZIS is seeking a Data & AI Engineer to turn sensor data into reliable information for detecting and tracking unmanned aerial systems. You will work with radar, optical, acoustic sensors and other systems to improve detection, classification and tracking accuracy within PREZIS’ C2 solutions.

You will combine ML, data processing, and sensor fusion techniques, train AI models, and integrate capabilities into PREZIS software platforms.

Qualifications

• Master’s degree in AI, CS, Data Science, EE, Robotics or related field.
• Experience building ML models, data processing algorithms, or AI software solutions.
• Strong programming in Python, with experience in C++ or Rust.

Responsibilities

• Develop, train, and optimize ML models for detection, classification and tracking of unmanned aerial systems.
• Explore AI techniques for processing radar, optical, acoustic and other sensor data.
• Develop algorithms to distinguish targets from noise and interference.
• Evaluate model accuracy, robustness and performance in realistic conditions.
• Translate research results into practical software components for PREZIS platforms.
• Develop and maintain data processing pipelines and datasets for model training and evaluation.
• Support integration of algorithms into real-time processing pipelines.

Skills

Machine learning

Data processing

Sensor fusion

Object tracking

Python

C++/Rust

English communication

Education

Master’s degree in AI/CS/Data Science/EE/Robotics

Tools

PyTorch

TensorFlow

scikit-learn

OpenCV

ROS2

Linux

Docker

Job description

If you want to turn complex sensor data into intelligent detection and tracking solutions, and develop AI technologies that make a real difference in operational environments, we encourage you to apply.

PREZIS operates within the defense industry and focuses on advanced solutions in the fields of Counter-UAS (C-UAS), Electronic Warfare (EW), Predictive Analysis, and Precision Strike. In a rapidly evolving international environment, we work every day on technologies that truly matter.

As PREZIS continues to develop its Counter-UAS capabilities, we are looking for a Data & AI Engineer to develop intelligent algorithms for sensor data processing, object detection, classification, sensor fusion, and tracking, contributing to the next generation of our integrated situational awareness systems.

Job Description

As Data & AI Engineer – Counter-UAS, Sensor Fusion & Tracking, you develop and improve the algorithms that turn raw sensor data into reliable information for detecting, identifying, and tracking unmanned aerial systems (UAS). You work with data from different sensor technologies, including radar, optical, acoustic, and other specialized sensing systems, to improve detection accuracy, classification, tracking performance, and situational awareness.

You combine machine learning, data processing, statistical methods, and sensor fusion techniques to develop solutions that perform reliably in complex, real‑world environments. Your work includes developing and training AI models, implementing tracking and data fusion algorithms, and integrating these capabilities into PREZIS’ software platforms and Command & Control (C2) solutions.

You work closely with software engineers, the Software Architect, R&D specialists, and external technology partners to translate research into practical, deployable solutions. This is a hands‑on engineering role where algorithm development, software implementation, data analysis, and real-world testing come together.

Key Responsibilities

• Develop, train, and optimize machine learning models for object detection, classification, and tracking of unmanned aerial systems.
• Explore and implement AI techniques for processing radar, optical, acoustic, and other sensor data.
• Develop algorithms to distinguish relevant targets from background noise, interference, and false detections.
• Evaluate and improve model accuracy, robustness, and computational performance under realistic operational conditions.
• Translate research and experimental results into practical software components that can be integrated into PREZIS’ platforms.

Sensor Fusion & Tracking

• Develop and improve algorithms that combine information from heterogeneous sensors into consistent detection and tracking results.
• Implement techniques for multi-target tracking, state estimation, track association, and geolocation.
• Apply methods such as Kalman filtering, probabilistic data association, and spatial coordinate transformations.
• Improve the accuracy, consistency, and reliability of tracking solutions across different sensor types and operating conditions.
• Collaborate with software and systems engineers to integrate fusion and tracking algorithms into real‑time processing pipelines.
• Develop and maintain data processing pipelines for collecting, cleaning, synchronizing, and analyzing sensor data.
• Prepare and structure datasets for algorithm development, machine learning, and performance evaluation.
• Analyze large volumes of sensor data to identify patterns, performance limitations, and opportunities for improvement.
• Develop tools for data visualization, analysis, and automated evaluation of detection and tracking performance.
• Support the development of reproducible workflows for model training, testing, and validation.

Software Integration & Validation

• Develop and maintain software components in Python, C++, or Rust for data processing, AI inference, and algorithm integration.
• Work with Linux-based development environments, Docker, and relevant machine learning frameworks.
• Collaborate with the Software Architect and engineering teams to integrate algorithms into PREZIS’ existing software platforms.
• Design and execute laboratory and field tests to evaluate algorithm performance using real sensor data.
• Analyze test results, identify technical limitations, and continuously improve developed solutions.
• Document algorithms, datasets, experiments, and technical results to support further development and integration.

Qualifications

• Master’s degree in Artificial Intelligence, Computer Science, Data Science, Electrical Engineering, Applied Mathematics, Robotics, or a related technical field.
• Experience developing and implementing machine learning models, data processing algorithms, or AI‑based software solutions.
• Strong programming skills in Python, preferably combined with experience in C++ or Rust.
• Knowledge of machine learning, statistical modeling, signal processing, or computer vision.
• Understanding of sensor fusion, object tracking, state estimation, or probabilistic algorithms.
• Familiarity with mathematical concepts such as linear algebra, probability theory, optimization, and Kalman filtering.
• Experience working with data processing pipelines, model evaluation, and experimental datasets.
• Strong analytical and problem‑solving skills, with the ability to translate complex technical challenges into practical solutions.
• Structured and hands‑on, with an interest in both algorithm development and software integration.
• Good command of English, both spoken and written.
• Preferred: Experience with PyTorch, TensorFlow, scikit‑learn, OpenCV, ROS2, Linux, or Docker; knowledge of multi‑target tracking, track association, geolocation, or real‑time sensor fusion; experience processing radar, optical, acoustic, or RF sensor data; familiarity with MLOps, model deployment, or edge AI; experience in robotics, autonomous systems, defense, aerospace, or Counter‑UAS applications.

Employment Type

This is a full-time position for 40 hours per week. The contract duration and terms will be discussed with the right candidate.

We Offer

We work in an ambitious, fast‑growing team where everyone’s contribution counts and there’s real room for your own initiative. On top of that, we offer:

• A technical R&D role at one of the Netherlands’ leading defense technology companies, for 40 hours per week.
• A gross annual salary between €51.876 and €74.125, depending on experience (full-time basis, 40 hours).
• A travel allowance.
• A company phone and laptop.
• The opportunity to develop AI, sensor fusion, and tracking technologies for advanced Counter‑UAS solutions.
• Direct involvement in the full development process, from data analysis and algorithm development to software integration and field testing.
• The autonomy to explore new approaches, develop intelligent algorithms, and contribute to the evolution of PREZIS’ technology platforms.
• Collaboration with multidisciplinary engineering teams and specialized technology partners.
• Opportunities for professional development and technical specialization.

As part of the selection process, a pre‑employment screening will be conducted.