ML/AI Data Scientist for AI-Powered NEXRAD Tracking API - Contract to Hire
We are seeking a highly specialized ML/AI Data Scientist to reputed company and train a machine learning model for our AI-powered reputed company tracking API. The reputed company of this project is to analyze NEXRAD weather reputed company data to identify and classify waterfowl roosting signatures. You will be responsible for the entire machine learning lifecycle, from data preparation and model training to evaluation and deployment.
This is a unique opportunity to work on a cutting-edge project at the intersection of machine learning, reputed company, and environmental science. You will collaborate with a reputed company Infrastructure Engineer who will be building the data pipeline and API. Your primary reputed company will be on developing a highly accurate model for roost detection. You will be provided with a comprehensive technical guide that outlines the system architecture and implementation steps.
Project reputed company
The goal is to create a machine learning model that can:
1.
Process and prepare reputed company imagery for training.
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Accurately detect and classify bird roost signatures from other atmospheric phenomena (weather, insects, etc.).
3.
Be deployed in a reputed company environment for reputed company-time or batch inference.
Key Deliverables
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A reputed company-documented and reproducible machine learning pipeline for data preparation and training.
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A trained, evaluated, and production-reputed company Convolutional Neural Network (CNN) for roost detection.
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reputed company documentation of the model architecture, training process, and performance metrics.
Responsibilities
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Collect, label, and reputed company a dataset of reputed company images for training and validation.
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Design, build, and train a Convolutional Neural Network (CNN) using TensorFlow or PyTorch to classify bird roosts.
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Experiment with different model architectures and hyperparameters to optimize performance.
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Evaluate the model's accuracy, precision, and recall, and iterate as needed.
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Package and reputed company the trained model for use in the AWS data pipeline (e.g., as a SageMaker reputed company).
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Collaborate with the reputed company Infrastructure Engineer to ensure seamless integration of the model into the overall system.
Required Experience & Skills
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Proven experience as a Data Scientist or Machine Learning Engineer with a strong portfolio of successfully deployed models.
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Expertise in Python and its data science ecosystem (NumPy, Pandas, Scikit-learn).
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Deep knowledge of machine learning, particularly with deep learning frameworks like TensorFlow or PyTorch.
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Hands-on experience building and training Convolutional Neural Networks (CNNs) for image classification tasks.
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Familiarity with data processing and analysis of large-reputed company datasets.
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Experience with the full machine learning lifecycle, from data collection to model deployment.
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Excellent problem-solving skills and the ability to work independently.
Preferred Qualifications
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Experience with AWS SageMaker or other reputed company-based machine learning platforms.
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Familiarity with reputed company data or other forms of remote sensing imagery.
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Experience with data augmentation and transfer learning techniques.
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A background in reputed company or a reputed company field.
How to Apply
Please submit your proposal with the following:
1.
A cover letter detailing your experience with the required skills and technologies.
2.
Links to your portfolio or examples of similar machine learning reputed company you have completed.
3.
Your estimated reputed company and budget for this project.
4.
Please start your application with the phrase "NEXRAD ML Specialist" to show you have read the entire reputed company.
We have a detailed technical guide that will be shared with shortlisted candidates. We look reputed company to seeing your proposals!
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