Ai Ml Engineer

Role & responsibilities

• Develop and optimize deep learning models for object detection, image segmentation, and video

analytics.

• Work on LLM integrations
• Work with OpenCV, TensorFlow, PyTorch, and other AI/ML frameworks to implement real-time image

and video processing solutions.

• Preprocess and manage large-scale image/video datasets for model training and inference.
• Optimize models for performance, using techniques like model quantization, pruning, and acceleration

(CUDA, TensorRT).

• Collaborate with the software engineering team to deploy AI models in production environments.
• Research and implement state-of-the-art techniques in computer vision and deep learning.
• Troubleshoot and improve model accuracy, performance, and inference speed.
• Collaborating with Project Manager and Provide Project Updates along with timesheet on daily basis
• Build applications and deploy it

Preferred candidate profile

• Expertise in OpenCV, TensorFlow, PyTorch [Must Have]
• Experience with YOLO, Faster R-CNN, SSD, and other object detection models
• Image segmentation and feature extraction techniques
• Strong knowledge of CNNs, GANs, and Transformers for image/video processing [must have]
• Model optimization for real-time inference • Experience with tools like NVIDIA TensorRT, ONNX
• Experience with FFmpeg, OpenCV, and GStreamer for video extraction
• Knowledge of motion tracking, frame interpolation, and video enhancement techniques
• Model deployment, monitoring, and scaling for video/image processing tasks [Must have]
• Experience with NVIDIA GPUs, CUDA, and cloud-based AI acceleration [Must have]
• REST APIs
• Python (Min. 3 years of working experience)
• AI/ML (Min. 2 years of working experience)