Hi

We are hiring for Embedded AIML Engineer

Experience: 4+ years

Location: Bangalore

We are seeking an experienced AI/ML Engineer with a strong academic and research foundation to contribute to the design, development, and implementation of advanced machine learning and deep learning solutions. The role requires expertise in state-of-the-art architectures, model optimization, and problem-solving applied to real-world scenarios.

Qualifications

Mandatory:

M.Tech in AI/ML with background in Electronics & Communication (EC) or Computer Science (CS).

Experience: 4+ years total, with at least 3+ years relevant in AI/ML domain.

- Core Skillset (Must-Have): Expertise in Deep Learning architectures: CNN, RNN, GNN, Transformers.

Strong programming skills in Python.

- Experience with at least one major AI/ML framework (PyTorch / TensorFlow). Track record in Computer Vision, Time-Series Analysis, Video Analysis.

Familiarity with Unsupervised & Semi-supervised learning techniques.

- Preferred/Good to Have: Image Processing, NLP, Edge/Embedded AI deployment

Roles & Responsibilities:

- Design and develop cutting-edge AI/ML models for vision, time-series, and multimodal data.
- Research and prototype advanced algorithms using state-of-the-art methods in deep learning.
- Optimize models for performance and scalability across platforms.
- Collaborate with cross-functional teams on real-world product and research applications.




- Stay ahead of AI/ML trends and apply them creatively to business challenges.

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. Robust 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.

Strong verbal and written communication skills Thanks & Regards

Swathi.P

IT Recruiter - Talent Acquisition Group

+91 040-67284903/(phone hidden) | [email protected]

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