Computer Vision Engineer

Computer Vision Engineer - LLM

Experience: 2 - 15 Years

Location- Permanent Remote Anywhere in the world

Contract Duration: 6 Months

Opportunity- Full Time, 8 hours, 5 hours Mandatory overlap with PST

Total Years Of exp- 2+ years Mandatory

Mandatory Skills- Python: min 2yrs, Python for Data Science: min1 yr, Computer Vision: min1 yr, PyTorch: min 1 yr, OpenCV: min 1 yr, Tensorflow: min 1 yr, Image Recognition: min 1 yr

Key Skills: Computer Vision, Python, Pytorch, OpenCV, Image Recognition

Job Responsibilities

• Develop and maintain machine learning models, with a focus on computer vision algorithms.
• Implement image processing techniques such as object detection, segmentation, and image classification using Convolutional Neural Networks (CNNs).
• Work with TensorFlow or PyTorch to develop, train, and deploy vision models.
• Utilize OpenCV for tasks like feature extraction, image filtering, and object tracking.
• Collaborate with cross-functional teams to enhance AI-driven solutions in the mobile coding domain.
  
  



Job Requirements

• Bachelor’s/Master’s degree in Engineering, Computer Science, or a related field.
• At least 2+ years of experience as a Python-focused Engineer.
• Expertise in image processing and computer vision algorithms using CNNs.
• Strong experience with TensorFlow/PyTorch for developing, training, and deploying vision models.
• Proficiency in OpenCV for image processing tasks.
  
  

Nice To Have

• Experience with Keras for quick prototyping of deep learning models.
• Familiarity with Large Language Models (LLMs) and their applications in AI.
• Knowledge of cloud platforms such as AWS, Azure, or Google Cloud.
  
  

Skills: machine learning,segmentation,image recognition,algorithms,image processing,engineering,tensorflow or pytorch,mobile coding,large language models (llms),computer science,convolutional neural networks,convolutional neural networks (cnns),mobile coding domain,tensorflow/pytorch,models,processing,opencv,feature extraction,google cloud,image filtering,cross-functional collaboration,llms,image processing techniques,deep learning,python for data science,deep learning models,cnn,computer vision,keras,tensorflow,cloud platforms,azure,ai-driven solutions,object detection,python,aws,object tracking,cnns,pytorch,cloud platforms (aws, azure, google cloud)