Confidential · 8 hours ago
Data Modeler
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Responsibilities
Design, train, and validate computer vision models for object detection, product recognition, anomaly detection, and other related tasks.
Work with structured and unstructured data to develop robust algorithms.
Partner with cross-functional teams, including data engineers, software developers, and business analysts, to ensure seamless integration of models into production systems.
Collaborate with product teams to understand requirements and translate them into technical solutions.
Process and analyze large datasets to identify patterns and features essential for model building.
Ensure data quality and implement techniques for efficient model training and testing.
Optimize models for real-time performance, scalability, and accuracy in production environments.
Deploy models into production and monitor their performance.
Stay updated on the latest trends and advancements in computer vision and machine learning technologies.
Experiment with new methodologies and contribute to the development of intellectual property.
Qualification
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Required
Bachelor’s degree in Computer Science, Data Science, Mathematics, or a related field (Master’s/PhD preferred).
Experience with computer vision techniques such as object detection, segmentation, and classification.
Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch, OpenCV).
Strong programming skills in Python, with knowledge of libraries like NumPy, pandas, and scikit-learn.
Preferred
Hands-on experience with deep learning models for image data processing.
Experience with cloud platforms such as AWS, GCP, or Azure.
Familiarity with Walmart’s retail business processes or similar industries.
Strong problem-solving and analytical skills.