Openings For Embedded Systems Engineer

Tekskills; Bengaluru; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Tekskills in Bengaluru is seeking a Senior Software Engineer with a strong AI/ML foundation to contribute to state-of-the-art ML solutions. You will design, develop, and implement advanced models, algorithms, and deployment pipelines across vision, time-series, and multimodal data.

The role requires experience in deep learning architectures (CNN/RNN/GNN/Transformers), strong Python skills, and hands-on use of PyTorch or TensorFlow, with collaboration across cross-functional teams to translate

Qualifications

• M.Tech in AI/ML with EC or CS background.
• 4+ years total; 3+ years in AI/ML domain.

Responsibilities

Skills

CNN

RNN

GNN

Transformers

Python

PyTorch

TensorFlow

Computer Vision

Time-Series

Video Analysis

Unsupervised Learning

Semi-supervised Learning

Education

M.Tech AI/ML with EC/CS

Tools

PyTorch

TensorFlow

Job description

Hi

we are hiring for 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.