Ai Ml Engineer (Bangalore Rural)

Ai Ml Engineer (Bangalore Rural)

13 Oct
|
Tekskills
|
Bangalore Rural

13 Oct

Tekskills

Bangalore Rural

Hi we are hiring for AI Ml Engineer

Exp: 4 to 10 Years

Location: Bangalore

Education: Mtech in CSC or ECE from AIML Background

JD;

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
- 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.

You can also add for AI/ML embedded

Mandatory skills:

- Strong exp on mathematical and algorithm
- Strong exp on Tensor flow, DSP, MCU

Below points are mandatory. CV's without strong hands on exp on these skills are not accepted/processed.

Embedded-AI engineer must have most of the below mentioned skillsets.

1. Must be good at AI-ML concepts.



Must be able to perform model tr
2. aining, inference, and evaluation of different AI models (both supervised and unsupervised).
3. Different model optimization and compression methods must be known.
4. Embedded-AI frameworks like TensorFlow, TFLite, TFLM, microTVM, CMSIS-NN, CMSIS-DSP.
5. Experience of using IDEs like: Keil MDK, IAR Embedded Workbench, VS Code, Eclipse, and toolchains from ST, NXP, Renesas, TI, Infineon etc.
6. 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.
7. 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.
8. Strong proficiency in Python and C / C++ languages. Experience with software debugging and code optimization techniques.
9. Familiarity with Git/GitHub/GitLab and build systems like CMake, Makefiles.
10. Robust verbal and written communication skills.

Thanks & Regards

Swathi.P

IT Recruiter - Talent Acquisition Group

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

📌 Ai Ml Engineer (Bangalore Rural)
🏢 Tekskills
📍 Bangalore Rural

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