Software Engineer in ML

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:

• 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.

• 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.

• Creating custom business logic as per clients requirement
• Implementing image processing and computer vision algorithms for diverse use cases.
  

• Building real-time or batch inference pipelines (using frameworks like Opencv or Gstreamer).
  

• Track status of model inference time and memory..
• Monitor model performance, latency, and hardware utilization.
• Implement CI/CD for model updates.

• 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, collaborative environment.

• 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 is a plus.