We are looking for ML Software Engineers to join our AI team at i2v. The successful candidate will be responsible for deploying, scaling, and maintaining ML models in production environments, architect robust computer vision ML pipelines, and ensure the reliability and scalability of our ML systems.

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 :
- High proficiency in C, C++
- 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, team-oriented environment.

Preferred skills :
- Familiarity with DeepStream for real-time video analytics and processing.
- Experience with OpenVINO toolkit for optimizing and deploying deep learning models

📌 Software Engineer in ML (Gurugram)
🏢 i2V
📍 Gurugram