Posted on: 06/03/2026
Job Description :
Key Responsibilities :
Model Deployment & Integration :
- Convert trained models to deployment formats (e.g., ONNX, TensorRT, OpenVINO, CoreML).
- Integrate models/algorithms provided by ML engineers into applications.
- Collaborate with Computer Vision ML engineers and testing/DevOps for production rollout.
Performance Optimization :
- Reduce latency and memory use in VA pipeline
- Optimizing and Inferencing of models
- Optimizing the code for different hardware : CPU, GPU and specialized devices, on linux and
Windows operating systems.
- Application-Level Logic & CV Algorithm Implementation
- Creating custom business logic as per clients requirement
- Implementing image processing and computer vision algorithms for diverse use cases.
Pipeline Engineering :
- Building real-time or batch inference pipelines (using frameworks like Opencv or Gstreamer).
Infrastructure & Monitoring :
- Track status of model inference time and memory..
- Monitor model performance, latency, and hardware utilization.
- Implement CI/CD for model updates.
Required Skills :
- Strong understanding of image processing, computer vision algorithms and machine learning
- High competency with image processing, computer vision and machine learning libraries such as OpenCV, Keras, OpenVino, Deepstream, Pytorch, Tensorflow
- Familiarity with Docker for containerization and deployment of applications.
- Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
Preferred skills :
- Familiarity with DeepStream for real-time video analytics and processing.
- Experience with OpenVINO toolkit for optimizing and deploying deep learning models on Intel hardware.
- Knowledge of ONNX Runtime for inference of models trained in popular deep learning frameworks.
- Experience with GStreamer for multimedia handling and streaming.
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Posted by
Monika Khetarpal
Human Resources Manager at i2V Systems
Last Active: NA as recruiter has posted this job through third party tool.
Posted in
AI/ML
Functional Area
ML / DL Engineering
Job Code
1618457