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AIML

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Onsite

AIML

Tekskills

AIML

Skills

PythonTensorFlowGitLabMachine LearningAIGitHub

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

18 August 2026

What they need


  1. Must be good at AI-ML concepts. Must be able to perform model training, inference, and evaluation of different AI models (both supervised and unsupervised).
  2. Different model optimization and compression methods must be known.
  3. Embedded-AI frameworks like TensorFlow, TFLite, TFLM, microTVM, CMSIS-NN, CMSIS-DSP.
  4. Experience of using IDEs like: Keil MDK, IAR Embedded Workbench, VS Code, Eclipse, and toolchains from ST, NXP, Renesas, TI, Infineon etc.
  5. Strong understanding of MCU and DSP architectures. Knowledge of ARM Cortex-M/A processors and embedded memory architectures. Experience with: FreeRTOS and Zephyr is an added advantage.
  6. Experience in porting and deploying AI models on resource-constrained devices such as MCUs, DSPs, and edge processors. Performance profiling and optimization of Latency, Throughput, Memory footprint, and Power consumption.
  7. Strong proficiency in Python and C / C++ languages. Experience with software debugging and code optimization techniques.
  8. Familiarity with Git/GitHub/GitLab and build systems like CMake, Makefiles.
  9. Strong verbal and written communication skills

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