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1 день назад

Senior Machine Learning Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Machine Learning Engineer (AI): Developing and deploying machine learning models on embedded UAVs, UGVs, and USVs to improve autonomous capabilities with an accent on deep learning, computer vision, geospatial data, and sensor fusion. Focus on optimizing models for resource-constrained environments, managing drone-generated datasets, and advancing real-time autonomy for next-generation unmanned systems.

Location: On-site in Gilching, Bayern, Germany

Company

hirify.global develops, designs, and produces electric vertical take-off and landing small unmanned aerial systems with edge computing and real-time AI-powered data processing for defence, security, and public-sector customers.

What you will do

  • Prepare and select data, train and validate machine learning models, and deploy them on embedded UAVs, UGVs, and USVs.
  • Improve autonomy across unmanned platforms and contribute to next-generation drone technology.
  • Collaborate with hardware development, testing, production, and customer operations stakeholders.
  • Design and train production deep learning models, or manage large-scale geospatial, image, and sensor datasets.
  • Optimize models for resource-constrained environments using quantization, pruning, and distillation.
  • Support data quality assurance, annotation workflows, labelling platforms, synthetic data generation, and simulation.

Requirements

  • Degree in Computer Science, Artificial Intelligence, or a related engineering discipline.
  • Proficiency in at least one of Python, Rust, or C++.
  • For the ML Engineer profile: proven experience designing and training deep learning models for production use.
  • For the ML Engineer profile: deep expertise in computer vision architectures or VLA architecture.
  • For the Data Engineer profile: experience managing large-scale geospatial, image, or sensor datasets.
  • For the Data Engineer profile: familiarity with drone-generated imagery, LiDAR, telemetry, and flight logs.
  • For the Data Engineer profile: experience with data quality assurance, annotation workflows, and labelling platforms.
  • For the Data Engineer profile: experience generating synthetic data and working with simulation.
  • Strong motivation to solve complex technical challenges, improve hands-on UxV products, work independently, and communicate effectively in English.

Culture & Benefits

  • Customer-centric environment focused on technological excellence and aerial data innovation.
  • Trust-based flexible working hours and mobile working options alongside the on-site role.
  • Company pension scheme, sponsored lunch budget, and corporate discounts.
  • Bike leasing, employee events, and shuttle service from Pasing in Munich to the Gilching location.
  • Inclusive workplace promoting diversity, open communication, and professional growth.

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