- 1�2 years of practical experience with N8N or any workflow automation tool (e.g., Zapier, Make/Integromat)
- Assist in developing and fine-tuning computer vision models using Python and deep learning frameworks.
- Work on object detection, pose estimation, and image segmentation using tools like YOLO, U-Net, and MediaPipe.
- Explore CNNs, GCNs, and similar architectures for visual data understanding.
- Apply preprocessing techniques using OpenCV and image augmentation pipelines.
- Help integrate vision models with APIs, front-end applications, or workflow tools.
- Design, build, and optimize automation workflows using n8n for internal tools or model pipelines.
- Perform model evaluation, testing, and optimization for performance and accuracy.
- Document the development process and contribute to knowledge sharing across the team.
- Strong programming skills in Python
- Sound understanding of Convolutional Neural Networks (CNNs) and core deep learning concepts
- Experience or academic exposure to at least 1�2 models like YOLO, U-Net, GCN, or ResNet
- Familiarity with MediaPipe, OpenCV, and image/video processing workflows
- Hands-on experience with TensorFlow or PyTorch
- Working knowledge of NumPy, pandas, matplotlib for data handling and visualization
- Strong debugging and problem-solving skills
- Ability to work independently and collaborate effectively with the team
Job Types: Full-time, Permanent
Pay: Up to ₹50,000.00 per month
Benefits:
- Health insurance
- Paid sick time
- Paid time off
- Provident Fund
Application Question(s):
- What is your relevant exp. in N8N or any other workflow automation tool?
- Current ctc in hand?
- Expected ctc in hand?
- Notice period in days?
Location:
- Noida, Uttar Pradesh (Required)
Work Location: In person
Expected Start Date: 25/08/2025
Salary
Hourly based
Location
UP , India UP, India
UP , India UP, India
