Virtual Vocations Inc
A company is looking for a Data Scientist with a focus on computer vision and deep learning.
Key Responsibilities
Design and develop machine learning models for computer vision tasks such as image classification, object detection, or segmentation Collaborate with senior scientists and engineers on end-to-end model pipelines, including data preprocessing, training, evaluation, and deployment Write production-quality code and contribute to the team's shared ML infrastructure and tooling Required Qualifications
Bachelor's degree in Computer Science, Engineering, Data Science, or a related field with 2-5 years of experience, or a Master's degree with relevant academic or internship work Proficiency in Python and experience with ML frameworks like PyTorch, TensorFlow, or scikit-learn Hands-on experience with deep learning models, especially CNNs, and familiarity with transformer models in computer vision Solid understanding of supervised learning, model evaluation, and core ML concepts Experience with version control, experimentation tracking, and reproducible ML pipelines #J-18808-Ljbffr
Design and develop machine learning models for computer vision tasks such as image classification, object detection, or segmentation Collaborate with senior scientists and engineers on end-to-end model pipelines, including data preprocessing, training, evaluation, and deployment Write production-quality code and contribute to the team's shared ML infrastructure and tooling Required Qualifications
Bachelor's degree in Computer Science, Engineering, Data Science, or a related field with 2-5 years of experience, or a Master's degree with relevant academic or internship work Proficiency in Python and experience with ML frameworks like PyTorch, TensorFlow, or scikit-learn Hands-on experience with deep learning models, especially CNNs, and familiarity with transformer models in computer vision Solid understanding of supervised learning, model evaluation, and core ML concepts Experience with version control, experimentation tracking, and reproducible ML pipelines #J-18808-Ljbffr