Software Developer with ML Background

• Skills Required:
  • C++
  • Buutcamp
  • Machine Learning
  • PyTorch
  • MLOps

Job Description

The Software Developer will be responsible for the following:

1. Integration of Machine Learning Models: Leverage extensive experience in PyTorch, quantization techniques, and embedded system programming to integrate machine learning models into the designated software stack. Ensure models are optimized for real-time processing and prediction on embedded devices.
2. Data Management: Manage and structure datasets required for model validation and operation within production environments. Ensure adherence to data integrity and compliance with data protection standards.
3. Optimization for Embedded Systems: Adapt and fine-tune machine learning models using C and C++ to enhance performance and efficiency on low-power embedded devices.
4. Support for MLops: Implement and support MLops infrastructure to automate machine learning models' deployment, monitoring, and lifecycle management in production settings.
5. Performance Monitoring: Regularly assess model performance on embedded platforms, implementing updates and optimizations to ensure they meet operational demands.
6. Collaboration and Reporting: Collaborate with the research and software engineering teams to ensure seamless translation of models into production. Provide bi-weekly updates on integration progress and system performance.

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