Вакансія

Senior AI Platform Engineer (MLOps, CV)

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Огляд

We are a British–Ukrainian air defence tech company building distributed systems across the frontline. We are looking for a Senior AI Platform Engineer to take ownership of the data and ML infrastructure behind our current and future inference products. Our core value is impact for Ukraine: we build technology that makes a real difference on the actual battlefield, not in labs or on paper specs. We operate with a deep-tech mindset, pushing new technologies where engineering rigor truly matters. We value ownership and responsibility—people who execute, deliver, and stand behind the results.

Обов'язки

  • development of production-grade data collection, labeling, and dataset curation pipelines for inference models with a focus on Computer Vision models
  • design of annotation workflows, quality control processes, and continuous dataset improvement mechanisms
  • setup of model deployment, experiment tracking, versioning, and monitoring systems
  • support and optimization of training and inference runtime pipelines in production environments
  • execution of experiments, evaluation of results, and improvement of system performance
  • definition of architecture and engineering standards for ML infrastructure across product lines

Вимоги

  • strong MLOps experience with data pipelines, labeling workflows, model deployment, production optimization, experiment tracking, and orchestration
  • background in Machine Learning and Computer Vision
  • experience with popular ML frameworks
  • ability to contribute to the research process through experimentation, evaluation, deployment, and continuous improvement
  • strong analytical thinking skills
  • solid foundation in linear algebra, probability, and statistics
  • English proficiency at B1 level or higher
  • experience in DefenseTech, SigInt, or embedded systems will be an advantage
  • understanding of RF-related data or sensor-driven ML systems will be an advantage
  • experience with real-time or low-latency ML pipelines will be an advantage
  • background in active learning, human-in-the-loop labeling, or continuous retraining workflows will be an advantage

Умови

  • meaningful and high-impact work in the air defence domain
  • practical R&D environment with a high level of autonomy
  • direct influence on technical decisions and product direction
  • collaboration with an experienced senior engineering team
  • clear and efficient senior-to-senior communication with a minimum number of meetings
  • remote, hybrid, or office-based work format
  • full-time employment
  • office in the center of Kyiv