Openings For Embedded AIML Engineer

Tekskills; Bengaluru; On-site; INR 1,400,000 - 2,100,000; Full time

Job summary

Tekskills is hiring an Embedded AIML Engineer to design and implement advanced AI/ML models for vision, time-series, and multimodal data on edge devices. You will prototype state-of-the-art algorithms and optimize for latency, memory, and power on MCUs and DSPs.

The role requires a strong AI/ML foundation with 4+ years total experience, including 3+ years in AI/ML, and a background in EC/CS. Location is Bangalore; collaboration with cross-functional teams is essential.

Qualifications

• Mandatory: M.Tech in AI/ML with EC or CS.
• 4+ years total experience with at least 3+ years in AI/ML.

Responsibilities

• Design and develop AI/ML models for vision, time-series, and multimodal data.
• Prototype and implement algorithms using state-of-the-art methods.
• Optimize models for performance on resource-constrained devices.
• Collaborate with cross-functional teams on product and research apps.
• Stay updated with AI/ML trends and apply to business challenges.

Skills

Deep Learning

Python

CV/Video Analysis

Time-Series Analysis

Unsupervised/Semi-supervised

Edge/Embedded AI deployment

Model optimization

RTOS/Embedded frameworks

Education

M.Tech AI/ML with EC/CS

Tools

TensorFlow

PyTorch

TFLite/TFLM

CMSIS-NN

Git/GitHub/GitLab

CMake/Makefiles

Job description

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. 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.

Strong verbal and written communication skills