Computer Vision Engineer

at  Yo HR Consultancy

JOB DESCRIPTION/REQUIREMENTS

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