Openings For AIML Embedded Engineer

Tekskills; Karnataka; On-site; INR 2,600,000 - 3,800,000; Full time

Job summary

Tekskills in Bangalore is hiring for an AIML Embedded Senior Software Engineer to design, train, deploy AI/ML models on resource-constrained devices. You will work across MCUs/DSPs, optimizing latency, memory footprint, and power use while leveraging TensorFlow Lite and PyTorch in a cross-functional environment.

The role requires 4+ years in AI/ML with a strong EC/CS background, proficiency in Python and C/C++, and hands-on experience with embedded toolchains such as Keil MDK, IAR, and VS Code.

Qualifications

• Must have AI/ML fundamentals with model training and deployment.
• Experience porting AI models to resource-constrained devices.
• Proficiency in Python; strong C/C++ skills.
• Familiarity with Git-based workflows and build systems.

Responsibilities

• Design and implement embedded AI/ML solutions for edge devices.
• Profile and optimize latency, memory usage, and power.
• Develop and port models using frameworks like TensorFlow Lite or PyTorch.
• Collaborate with cross-functional teams on research and product goals.

Skills

CNN

RNN

GNN

Transformers

Python

PyTorch

TensorFlow

Computer Vision

Time-Series Analysis

Video Analysis

Unsupervised Learning

Semi-supervised learning

Education

M.Tech in AI/ML (EC/CS)

Tools

Keil MDK

IAR Embedded Workbench

VS Code

Eclipse

Git

GitHub

GitLab

CMake

Makefiles

Job description

Hi

We are hiring for AIML Embedded

Work Location: Bangalore

Work mode: 5 days of WFO

Experience Range:4+ years

JD:

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.

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.