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