Software Engineer AI Applied

apartmentAST SpaceMobile placeBarcelona calendar_month 

Experteer Overview

In this role you will develop and maintain software platforms and internal tools while building data-driven ML solutions to optimize complex systems. You will work within a cross-functional team to process large data volumes, train AI models, and deploy analytics capabilities that inform performance and reliability.

The position focuses on applying Python/C++ development and ML frameworks to real-world space network challenges. This is a chance to shape AI-enabled solutions for next-gen satellite broadband and contribute to mission-critical outcomes. You will collaborate to improve methodologies and deliver measurable impact.

Compensaciones / Beneficios
  • Develop and maintain software platforms and internal tools
  • Design and develop Python and C/C++ applications for data processing, automation, and analytics
  • Build pipelines for acquiring, organizing, validating, and exploiting large data sets
  • Design, train, and validate ML/AI models for anomaly detection, fault detection, event classification, predictive analysis, and system behavior analysis
  • Implement models using PyTorch, TensorFlow, or equivalents
  • Create visualization systems, dashboards, and real-time reporting for technical analysis and performance tracking
  • Develop test automation tools and large-scale result analysis solutions
  • Perform statistical data processing to support validation and continuous improvement
  • Integrate with production systems, internal tools, and data management platforms
  • Participate in code reviews, define software architecture, and improve development practices
  • Manage repositories and workflows using Git/GitLab
  • Contribute to improvement of team methodologies, tools, and processes
Responsabilidades
  • Degree in Computer Engineering, Telecommunications, Electronics, or similar
  • 2-3 years of experience
  • Solid experience in Python development
  • Experience in C/C++ development
  • Experience in data processing, analysis, and exploitation
  • Experience in developing and training ML models
  • Practical knowledge of PyTorch, TensorFlow, or similar
  • Experience in anomaly detection, classification, fault detection, or predictive analysis
  • Experience developing visualization tools, reporting, and dashboards
  • Knowledge of Git/GitLab and collaborative workflows
  • Fluent English
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