Edge AI Engineer (Computer Vision)

Overview

Overview:

We are seeking a highly skilled Edge AI Engineer to join our growing team. The ideal candidate will have a strong background in computer vision, specifically object detection and classification, and will also be experienced in training and evaluating deep learning models. Additionally, a working knowledge of embedded programming, cross-compilation, and Qt development is a significant plus.

Key Responsibilities

Computer Vision Model Development

• Design, train, and implement object detection and classification models using various state-of-the-art deep learning architectures (e.g., YOLO, Faster R-CNN, SSD, etc.).
• Conduct video classification tasks and integrate them into existing or new systems.
• Experiment with different neural network architectures and algorithms to optimize performance on edge devices.

Model Training & Hyperparameter Tuning

• Set up training pipelines and perform hyperparameter tuning to achieve the best balance between accuracy and efficiency.
• Track model performance, benchmark against baseline and SOTA results, and deliver insights for continuous improvement.

Performance Evaluation & Experimentation

• Compare and benchmark different approaches (e.g., accuracy, speed, resource consumption) to identify the best solution for each use case.
• Use both quantitative and qualitative methods to evaluate model performance and present findings to stakeholders.

Embedded Programming & Edge Deployment

• Develop and optimize AI solutions for deployment on edge devices, ensuring efficient memory usage and real-time inference speeds.
• Use cross-compilation techniques to build and deploy applications on various platforms and hardware environments.

Qt and Application Development

• (Nice to have) Leverage Qt for creating user-friendly interfaces and applications to showcase AI functionality on edge devices.
• Integrate AI modules within Qt-based applications, ensuring seamless communication between the front end and back-end processes.

Collaboration & Documentation

• Work closely with cross-functional teams including software engineers, hardware engineers, and product managers to define requirements and deliver cutting-edge AI solutions.
• Document development processes, model architectures, and results for easy knowledge sharing and project continuity.

Qualifications

Education:

• Bachelor’s or Master’s in Computer Science, Electrical Engineering, or a related field (or equivalent experience).

Technical Expertise:

• Strong experience in computer vision (object detection, classification, video classification).
• Proficiency with deep learning frameworks (e.g., TensorFlow, PyTorch).
• Experience with hyperparameter tuning and model optimization techniques.
• Solid knowledge of C++ or Python, and familiarity with embedded programming.

Embedded & Cross-Compilation Skills:

• Previous experience deploying models on embedded systems (e.g., NVIDIA Jetson, Raspberry Pi, or similar edge devices).
• Understanding of cross-compilation toolchains and performance optimization on hardware-constrained environments.

Software & Tools:

• Familiarity with version control (Git) and CI/CD workflows.
• (Nice to have) Experience with Qt for GUI development and integration.

Soft Skills:

• Strong problem-solving abilities and attention to detail.
• Excellent communication skills and ability to work in a collaborative environment.
• Eagerness to stay updated with the latest AI and embedded systems research.

Job Types: Full-time, Permanent

Pay: ₹300,000.00 - ₹400,000.00 per year

Benefits:

• Flexible schedule

Schedule:

• Day shift
• Fixed shift
• Monday to Friday
• Morning shift

Work Location: In person