AI Engineer – ECE / Embedded & Edge AI

Experience Required

510 Years Experience Required

Employment Type

Full-time

Location

Onsite (Dwarka Sec 11 Delhi)

Job Summary

We are seeking a AI Engineer with an Electronics & Communication Engineering (ECE) background who is passionate about Artificial Intelligence, Embedded Systems, and Edge AI products.

The role involves working across the entire AI lifecyclefrom data collection and labeling to model deployment, MLOps, and product testing on real hardware platforms such as ESP32, Raspberry Pi, and NVIDIA Jetson.

Key ResponsibilitiesAI & Machine Learning

Assist in developing, training, and evaluating ML / Deep Learning models

Work on Computer Vision and sensor-based AI applications

Perform data preprocessing, cleaning, labeling, and augmentation

Collect real-world data from cameras, sensors, and IoT devices

Optimize AI models for latency, accuracy, and edge deployment

MLOps & Deployment

Support model versioning, experiment tracking, and reproducibility

Assist in deploying models using Docker, APIs, and edge AI pipelines

Monitor model performance and assist in continuous improvement

Help maintain model lifecycle workflows (training testing deployment)

Embedded Systems & ECE Integration

Work with ESP32 microcontrollers for data acquisition and control

Interface AI systems with electronic hardware, sensors, cameras, and actuators

Understand and debug hardwaresoftware integration

Use ECE fundamentals to support signal acquisition and processing

Product Testing & Validation

Perform functional testing and validation of AI-based products

Test AI models under real-world environmental conditions

Assist in system reliability, performance benchmarking, and bug fixing

Support field testing and on-device debugging

Required Qualifications

Bachelors degree in Electronics & Communication Engineering (ECE) or related field

Strong understanding of:

Digital Electronics

Signals & Systems

Basic communication concepts

Programming skills in Python

Hands-on or academic experience with ESP32

Familiarity with Linux-based systems

Basic understanding of Machine Learning & AI concepts

Mandatory Technical Skills

ESP32 programming (Arduino / ESP-IDF basics)

Python for:

Data handling

Automation scripts

Data labeling and dataset management

Linux command-line usage

Understanding of AI model training and inference workflows

Preferred / Good-to-Have Skills

Computer Vision: OpenCV

ML frameworks: PyTorch / TensorFlow

Edge AI tools: TensorRT, DeepStream, ONNX

IoT & communication protocols: UART, SPI, I2C, MQTT, HTTP

MLOps tools: Docker, Git, basic CI/CD concepts

Experience with:

Raspberry Pi / NVIDIA Jetson

Camera sensors & electronic modules

Basic cloud or API integration knowledge

Who Should Apply

ECE graduates interested in AI + Electronics + Embedded Systems

Candidates with AI + hardware projects

Freshers eager to work on end-to-end AI product development

Engineers interested in edge AI, IoT, and real-world deployments

What We Offer

Hands-on experience with production AI systems

Exposure to MLOps, embedded AI, and product lifecycle

Opportunity to work with real hardware and real data

Mentorship and structured learning environment

Growth path into AI Engineer / Embedded AI Engineer / MLOps roles