AIML Engineer Computer Vision & Video Analytics
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Job Location:
Monthly Salary:
Posted on:
8 hours ago
Vacancies:
1 Vacancy
Job Summary
We are seeking a highly skilled AI/ML Engineer to design build and deploy realtime computer vision systems for safety monitoring using IP cameras. The role involves developing deep learning models building video processing pipelines optimizing models for edge deployment and integrating AI systems with backend services and dashboards.
Key Responsibilities
Design and implement computer vision models for safety monitoring using video streams.
Develop realtime AI pipelines for processing RTSP camera feeds.
Train and finetune object detection models (e.g. PPE detection fire/smoke detection).
Implement object tracking for people counting and behavior monitoring.
Integrate AI models with backend APIs and realtime dashboards.
Optimize models for production using TensorRT or ONNX runtime.
Collaborate with backend frontend and DevOps teams to deploy scalable AI systems.
Evaluate model performance using metrics such as mAP precision and recall.
Required Technical Skills
Strong programming skills in Python.
Deep learning frameworks: PyTorch or TensorFlow.
Computer Vision libraries: OpenCV PIL scikit-image.
Experience with object detection models such as YOLO.
Experience working with video streams and RTSP cameras. Knowledge of model optimization using ONNX and TensorRT.
Experience working with Linux and GPU environments (CUDA).
Data & ML Skills
Dataset collection labeling and preprocessing.
Experience with annotation tools such as CVAT or Roboflow.
Data augmentation techniques for improving model performance.
Model evaluation using confusion matrix precision recall and mAP. Video & RealTime Processing
Experience with video processing pipelines using OpenCV and FFmpeg.
Knowledge of realtime frame extraction and inference pipelines.
Experience implementing object tracking algorithms such as ByteTrack or DeepSORT.
Understanding of pose estimation and behavior detection techniques.
Backend & System Integration
Experience building APIs using FastAPI or Flask.
Understanding of REST APIs and WebSocket communication.
Experience integrating AI outputs with dashboards and monitoring systems.
Knowledge of PostgreSQL and Redis for storing detections and analytics.
Deployment & Infrastructure
Experience with Docker and containerized deployments.
Knowledge of Linux server environments.
Experience deploying AI models on GPU servers or edge devices.
Understanding of CI/CD and monitoring systems for AI services.
Nice to Have
Experience building multicamera video analytics systems.
Knowledge of WebRTC HLS or MJPEG streaming.
Experience with edge AI devices such as NVIDIA Jetson.
Experience deploying AI systems in industrial or safety environments.
Qualifications
Bachelors or Masters degree in Computer Science Artificial Intelligence Machine Learning or related field.
3 years of experience in machine learning or computer vision engineering.
Experience working on production AI systems is highly preferred.
- Immediate joiners are preferred.
Required Skills:
Computer VisionPPE detectionFire DetectionSmoke DetectorsTensorRTONNXPyTorchTensorFlowOpenCVPILscikit-image
Key Skills
- Adobe Analytics
- Data Analytics
- SQL
- Attribution Modeling
- Power BI
- R
- Regression Analysis
- Data Visualization
- Tableau
- Data Mining
- SAS
- Analytics
