
Machine Learning
2 weeks ago
**Job description**:
**Key Responsibilities**:
- Develop and guide our team on object detection models using YOLOv5/v8, TensorFlow, or PyTorch to identify hangers on a moving production line.
- Process live camera feeds using OpenCV and stream via RTSP or USB/webcams.
- Build a complete detection and counting software solution tailored for the garment industry.
- Ensure accurate detection and prevent double-counting using object tracking algorithms (e.g., SORT, DeepSORT).
- Prepare and label custom datasets using tools like LabelImg or Roboflow.
- Optimize the model to run efficiently on industrial PCs or edge devices like Jetson Nano or Raspberry Pi.
- Collaborate with hardware/software engineers for system integration and deployment.
- Build a basic dashboard or interface (optional) using Flask/FastAPI for internal use.
**Mandatory Skills & Requirements**:
- Strong Python programming skills with OpenCV experience Knowledge of YOLOv5/v8 or equivalent object detection frameworks.
- Hands-on experience with deep learning frameworks like PyTorch or TensorFlow.
- Experience with live video feed processing and stream handling.
- Understanding of object tracking to avoid miscounts.
- Familiarity with data annotation tools like LabelImg or Roboflow.
- Good problem-solving and debugging skills.
- **Freshers do not apply.**
**Good to Have**:
- Degree in Computer Science, Artificial Intelligence, or related field.
- Experience deploying ML models on Jetson Nano, Raspberry Pi, or industrial PCs.
- Familiarity with Flask/FastAPI for lightweight APIs.
- Experience using Docker and Git for version control and deployment (optional but helpful).
**Job Types**: Full-time, Permanent
Pay: ₹600,000.00 per year
**Benefits**:
- Work from home
Work Location: In person
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