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Staff Machine Learning Engineer

SonatusAutomotive Software company
Dublin, IrelandLead
Foxconn
Hyundai Motor Group's Kia Corporation
LG Electronics
Marvell
NEC
Translink Orchestrating Future Fund
Data & AI

About the role

TL;DR

Lead the development of Edge AI for in-vehicle health monitoring and prediction.

  • Sonatus is seeking a Staff Machine Learning Engineer to lead the development of Edge AI for in-vehicle health monitoring and prediction.
  • This role involves building and deploying AI models that analyze vehicle data to detect and predict system health and anticipate failures in real-time.
  • Key Responsibilities Build and train AI Edge models (e.g., Transformers, LLM, CNN, LSTM) for log and trace analysis.
  • Develop algorithms for log pattern clustering and software regression detection.
  • Design unsupervised and supervised learning models for time-series data monitoring.
  • Port and optimize models for execution on resource-constrained edge devices.
  • Lead the architecture for the edge ML pipeline and mentor junior engineers.
  • Requirements 7+ years in Machine Learning Engineering, with 3+ years focused on Edge AI or Embedded Systems.
  • Expert Python and working knowledge of modern C++.
  • Deep proficiency with PyTorch or TensorFlow, and experience with inference engines like ONNX, TFLite, or TVM.
  • Experience deploying to Edge environments and managing memory on limited compute resources.
  • Proven ability to lead technical projects from concept to production.
View original posting →

Required skills

PythonC++PyTorchTensorFlowONNXscikit-learnLinux

Nice-to-have skills

OpenAI APIAnthropic APIGemini APIComputer VisionNLPLLMs

Domain expertise

automotiveai

Tech stack

PythonC++PyTorchTensorFlowONNXOpenAI APIAnthropic APIGemini APIscikit-learnGitLinux

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