Computer Vision Engineer
5 days ago
Computer Vision Engineer
What impact will you make? Every day, your work will make an impact that matters, while you thrive in a dynamic culture of inclusion, collaboration and high performance. As the undisputed leader in professional services, Deloitte is where you will find unrivaled opportunities to succeed and realize your full potential.
Deloitte is where you will find unrivaled opportunities to succeed and realize your ful potential.
The Team Deloitte’s SA&MA- Analytics & Cognitive practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning. Learn more about Analytics and Information Management Practice.
Job Description:
We are seeking an experienced Data Scientist with a strong background in Computer Vision (CV), Stable Diffusion, Generative Adversarial Networks (GANs). The ideal candidate will have a passion for pushing the boundaries of CV research and development. As a Data Scientist, you will be responsible for analyzing data, developing advanced CV models, implementing cuttingedge solutions, and driving business solutions.
Responsibilities: •
Develop and implement state-of-the-art Computer Vision (CV) models using Stable Diffusion, Generative Adversarial Networks (GANs), and the latest CV solutions. • Analyze and preprocess large datasets, ensuring data quality and accuracy for model development. • Apply statistical analysis, hypothesis testing, and data visualization techniques to extract actionable insights. • Collaborate with cross-functional teams to develop A/B testing frameworks, monitor model performance, and iterate on models based on feedback. • Stay up-to-date with the latest advancements in CV, Stable Diffusion, GANs, and other relevant technologies, and apply them to improve data-driven solutions.
ESSENTIAL SKILLS: •
Strong understanding of data science principles, statistical analysis, and machine learning algorithms. • Proficiency in Python, TensorFlow, Keras, and other relevant programming languages and libraries. • Experience in developing and implementing advanced CV models, including GANs and Stable Diffusion. • Knowledge of the latest CV solutions and techniques. • Ability to preprocess and clean data, handle missing values, and deal with unstructured data. • Excellent problem-solving skills and ability to translate business requirements into data-driven solutions. • Strong communication skills to collaborate with cross-functional teams and present findings to stakeholders.
Education and Experience: • Master's degree or PhD in Data Science, Computer Science, Statistics, or a related field. At least 3 years of experience in developing and implementing advanced CV models, with a focus on GANs, Stable Diffusion, and the latest CV solutions
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