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AI & Machine Learning Engineer – Sensor Fusion & Situational Awareness - 2279

Opportunité exclusive

2 à 4 semaines

Hybride

AI & Machine Learning Engineer – Sensor Fusion & Situational Awareness - 2279

Rheso.tech

AI & Machine Learning Engineer – Sensor Fusion & Situational Awareness - 2279

Expertises

PythonPyTorchTensorFlowData AnalysisMachine LearningIASystèmes embarquésC++

il y a 5 jours

Opportunité exclusive

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Information importante


Type de contrat:

CDI

Salaire / Taux journalier :

65-105k€ (Annuel)

Cette offre est à 0% de commission 🎉

Localisation :

Munich, Allemagne

Date de démarrage :

2 à 4 semaines

Mode de travail :

Hybride

Publié le :

16 mars 2026

Le besoin


AI & Machine Learning Engineer – Sensor Fusion & Situational Awareness M/F

Contract type Permanent

Location Greater Munich (Hybrid)

Reference 2279

Contact

About the recruiting company Our client is a European start-up specializing in electronic warfare, secure communications, and precision localization technologies for the defense sector.

Key points of the position Reporting to the engineering team, you will develop advanced AI and machine learning algorithms that transform complex sensor data into reliable situational awareness for defense operations.

Missions As an AI & Machine Learning Engineer, your missions will include:

  • Processing and analyzing large volumes of real-world sensor data collected in operational environments
  • Designing, training, and optimizing machine learning models to classify signals and interpret complex, noisy data streams
  • Developing advanced sensor fusion algorithms combining machine learning techniques with classical state estimation methods such as Kalman filters
  • Translating ML prototypes into efficient algorithms deployable on embedded systems, in collaboration with embedded software teams
  • Optimizing and quantizing ML models to run on resource-constrained edge hardware
  • Developing predictive models capable of anticipating environmental changes and entity movements
  • Validating and improving algorithms using simulation environments and real-world data from field tests

Necessary skills

  • You must have a degree in Computer Science, Machine Learning, Robotics, Physics, or a related field
  • You have proven experience in applied machine learning and sensor data processing
  • You have strong experience with modern ML frameworks such as PyTorch or TensorFlow
  • You possess solid programming skills in Python and good proficiency in C++ for algorithm deployment on embedded systems
  • You have a strong understanding of sensor fusion, tracking, and localization concepts
  • You are comfortable working with imperfect real-world datasets and extracting meaningful insights from noisy inputs
  • Fluent English is required and German is strongly appreciated
  • Eligibility for German security clearance (SÜ2/Ü2) is required: German or EU citizenship is mandatory

Salary 65–105k euros gross annual

About RHESO.TECH A specialized recruitment agency

https://www.rheso.tech/

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