Junior AI Engineer

If you're building AI that runs at the edge — not just in the cloud, this one's for you.

This isn't a research role. You'll be taking models from training to deployment on embedded hardware and owning the full ML workflow to get there.

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⚙️ What You'll Be Doing

• Design, train, fine-tune, and deploy deep learning models on embedded platforms such as NVIDIA Jetson
• Build and maintain real-time systems:
  • Speech Recognition
  • Text-to-Speech
  • Computer Vision (optimized for edge inference)
• Convert and optimize models using ONNX and TensorRT for maximum edge performance
• Own automated ML workflows and CI/CD pipelines using Jenkins and Docker
• Collaborate across software, hardware, and systems teams to integrate ML solutions into production

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🎓 What We're Looking For

• Degree in Computer Science, Electrical Engineering, or a related field from a recognized university
• 1–2 years of hands-on production experience with embedded AI systems
• Strong command of:
  • Python
  • PyTorch
  • NVIDIA Jetson
  • TensorRT
  • ONNX
  • Performance Optimization
  • Embedded Application Development (C++)
  • MLOps

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🌟 What We Offer

• Competitive remuneration
• A great working environment with ample opportunities for professional growth