AIML Embedded

Tekskills Inc.; Karnataka; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Tekskills Inc. is seeking an experienced Senior Software Engineer with a strong AI/ML background to design, develop, and implement advanced machine learning and deep learning solutions. You will work on state-of-the-art architectures, model optimization, and real-world deployment across platforms.

The role requires 4+ years in AI/ML, with 3+ years in related work. A M.Tech in AI/ML with EC or CS is preferred, and familiarity with edge/embedded deployment is advantageous.

Qualifications

• M. Tech in AI/ML with background in EC or CS.
• Experience: 4+ years total, with at least 3+ years relevant in AI/ML domain.

Responsibilities

• Design, develop, and implement advanced ML/DL solutions.
• Optimize models for performance and deployment on edge devices.
• Collaborate with cross-functional teams on real-world product/research applications.

Skills

CNN

RNN

GNN

Transformers

Python

PyTorch

TensorFlow

Computer Vision

Time-Series

Video Analysis

Unsupervised Learning

Semi-supervised learning

Education

M. Tech in AI/ML with EC/CS

Tools

TensorFlow

TFLite

TFLM

microTVM

CMSIS-NN

CMSIS-DSP

Keil MDK

IAR

VS Code

Eclipse

Job description

Hi

We are Hiring for AIML Engineer

Experience:4 TO 9 Years

Location: Bangalore

Education: Mtech In AIML

Position: Senior Software Engineer:

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
• 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.

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 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.