AI/ML Engineer (N8N tool)

Key Responsibilities

• 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.

Requirements

• 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