| Data Scientist with Image Classification Experience - Remote at Remote, Remote, USA |
| Email: [email protected] |
| From: Abhishek Garg, USG Inc. [email protected] Reply to: [email protected] Hi, Hope you are doing well !! We have an urgent Position with one of our Client. Let me know if you are interested in below mentioned position and share your updated resume and contact details to discuss further about the role. Data Scientist with Image Classification Experience 100% Remote 9-12 Months Contract Position Overview: We are seeking a skilled and experienced Data Scientist with expertise in image classification to join our team. As a Data Scientist, you will play a crucial role in developing and implementing advanced algorithms and models to analyze and classify images for various applications. You will collaborate with cross-functional teams to extract valuable insights from image data and contribute to the development of cutting-edge solutions. Responsibilities: Develop and implement state-of-the-art image classification algorithms and models using machine learning, deep learning, and computer vision techniques. Pre-process and clean large-scale image datasets to ensure data quality and compatibility with modeling approaches. Design and train neural networks and convolutional neural networks (CNNs) for image recognition and classification tasks. Conduct exploratory data analysis to identify patterns, outliers, and trends in image data. Collaborate with domain experts and stakeholders to understand image-related business problems and develop appropriate solutions. Evaluate and optimize models for accuracy, performance, and efficiency using relevant evaluation metrics. Stay up-to-date with the latest advancements in image classification, deep learning, and computer vision research to continually enhance the team's capabilities. Communicate findings, insights, and technical solutions effectively to both technical and non-technical stakeholders through reports, presentations, or visualizations. Collaborate with cross-functional teams, including data engineers, software developers, and product managers, to integrate models into production systems. Ensure compliance with data privacy and security regulations throughout the entire data science lifecycle. Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. A Ph.D. is a plus. Strong background and hands-on experience in image classification, computer vision, and deep learning techniques. Proficiency in programming languages such as Python, R, or MATLAB for data analysis, model development, and prototyping. Experience with deep learning frameworks like TensorFlow, PyTorch, or Keras. Solid understanding of machine learning concepts, algorithms, and statistical techniques. Familiarity with image processing techniques and tools, including feature extraction, image segmentation, and object detection. Proficient in working with large-scale datasets and data pre-processing techniques specific to image data. Strong analytical thinking, problem-solving skills, and the ability to apply scientific methodologies to real-world challenges. Excellent communication skills to effectively collaborate with cross-functional teams and present complex ideas to stakeholders. Prior experience deploying models in production systems or cloud platforms is a plus. Regards, Abhishek Garg |[email protected] Keywords: rlang |
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| Fri Jul 28 22:40:00 UTC 2023 |