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