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Junior Edge AI Developer

ITTIA, a leading provider of real-time embedded data management platform software, is seeking a Junior Edge AI & Data Infrastructure Developer to join our team and contribute to building next-generation data-driven systems at the edge.

This role focuses on quality assurance, participating with the team in designing and managing the data foundation that powers Edge AI systems, enabling reliable data capture, processing, and intelligent decision-making directly on embedded devices. From day one, you will work on real-world projects involving time-series data, feature engineering, and on-device AI pipelines.

If you have a strong foundation in C, C++, Python, SQL, and Machine Learning frameworks (e.g., PyTorch), along with a passion for building intelligent systems powered by data, we want to hear from you.

 

What You Will Do

  • Collaborate with senior engineers to design and build edge data infrastructure for embedded AI systems 
  • Develop and manage real-time data pipelines including ingestion, storage, and processing of sensor and time-series data 
  • Contribute to machine learning workflows, including feature extraction, model integration, and inference at the edge 
  • Build tools, dashboards, and utilities to observe, analyze, and validate data and AI system behavior 
  • Write clean, efficient, and well-documented code following embedded and data engineering best practices 
  • Continuously learn and apply the latest tools, techniques, and advancements in Edge AI, data infrastructure, and MLOps 

What We’re Looking For

  • Strong programming skills in C/C++, Python, and SQL 
  • Solid understanding of machine learning concepts and data processing workflows 
  • Familiarity with ML libraries such as PyTorch or TensorFlow 
  • Interest in embedded systems, Edge AI, and real-time data environments 
  • Strong problem-solving skills and attention to detail 
  • Excellent communication skills in English 

Why Engage With ITTIA?

  • Build real-world Edge AI systems powered by data, not just models 
  • Gain hands-on experience with embedded data infrastructure and intelligent devices 
  • Work alongside experts in real-time systems, data management, and Edge AI
  • Access mentorship, training, and career growth opportunities 
  • Make a direct impact on industrial, automotive, medical, and IoT innovations

How to Apply

Please send your resume, cover letter and grades. Your cover letter should explain your interest in Edge AI and data-driven systems, and why you would be a great fit.