AI-Powered Edge Device Software Developer

3 days ago

Lucknow, Uttar Pradesh, India beBeeSoftware Full time ₹ 25,00,000 - ₹ 30,00,000

Machine Learning Software Engineer

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We are seeking an expert in machine learning software engineering to develop and implement computer vision and machine learning models on edge devices.

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This role requires strong foundations in image processing, computer vision, and machine learning, as well as practical experience integrating these models on device.

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You will work closely with data science and machine learning teams to curate datasets, train and evaluate models, and deploy them in real-time pipelines.

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The ideal candidate will have a solid understanding of Linux, C++, and Git, and experience with cross-compiling, containerized toolchains, and unit tests.

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Additionally, you should be familiar with hardware acceleration, including GPU/VPU/NPU and Arm NEON/DSP.

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In this role, you will design and optimize distance estimation from monocular or stereo camera(s) using calibration, geometry, and/or depth-estimation networks.

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You will also integrate machine learning models for driver monitoring and advanced driver-assistance system events.

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Achieving real-time performance targets is crucial in this position.

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Beyond technical skills, excellent communication and collaboration skills are required to work effectively with cross-functional teams.

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Responsibilities:

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  • ">
  • Develop computer vision and machine learning models for edge devices.">
  • Integrate machine learning models for driver monitoring and ADAS features.">
  • Design and optimize distance estimation from monocular or stereo camera(s).">
  • Achieve real-time performance targets on CPU/GPU/NPU.">
  • Collaborate with data science and machine learning teams.">
  • Implement classical image processing pipelines and computer vision algorithms.">
  • Work with cross-functional teams to achieve project goals.">
    • "]},

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