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