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Embedded AI Engineer
Industrial Automation
Embedded AI Engineer
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Embedded AI Engineer

at Industrial Automation

Agency job
3 - 8 yrs
₹15L - ₹45L / yr
Bengaluru (Bangalore)
Skills
skill iconPython
Embedded Systems
skill iconC++
Artificial Intelligence (AI)
TensorFlow
ONNX Runtime
Edge Impulse

Qualification

•  Bachelor’s or master’s degree in computer science, Electrical Engineering, Electronics, or related field

•  5 – 8 years of hands-on experience in Embedded Systems and AI/ML development

•  Strong programming proficiency in Python, C/C++, and embedded development

•  Practical experience with embedded ML frameworks such as TensorFlow Lite, ONNX Runtime, Edge Impulse, or similar

• Solid understanding of real-time embedded systems, microcontroller architectures, and communication protocols

•  Experience with model optimization techniques (quantization, pruning, hardware-specific acceleration) is a plus

•  Familiarity with edge hardware platforms such as ARM Cortex, STM32, ESP32, NVIDIA Jetson, or similar is desirable.



Your job Responsibilities :

•    Develop, optimize, and deploy machine learning models for embedded and edge devices

•   Ensure real-time performance, memory efficiency, and low-power operation of on-device AI solutions

•   Integrate ML algorithms with microcontrollers, embedded controllers, and edge computing platforms

•   Implement pipelines for model conversion, quantization, and hardware acceleration

•   Collaborate with software, controls, and hardware engineers to deliver production-grade embedded AI systems

•   Participate in prototyping, testing, benchmarking, and continuous improvement of embedded AI solutions

•   Work with the global research teams to translate concepts into scalable prototypes for industrial automation.





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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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