AI and Machine learning
6 hours ago
Job Description Key responsibilities - Model development: Design, build, and implement machine learning models and algorithms. - Data analysis and preprocessing: Analyze large datasets, identify patterns, and perform data cleaning and feature engineering. - Training and evaluation: Train models, perform statistical analysis, run tests, and evaluate performance. - Deployment and integration: Deploy models into production environments and integrate them with existing software systems and products. - Optimization and maintenance: Optimize models for performance and scalability, and maintain the AI pipelines. - Research and collaboration: Stay updated on the latest AI/ML advancements and collaborate with cross-functional teams like data scientists, software engineers, and product managers. Required Skills And Qualifications - Programming: Proficiency in languages such as Python is crucial, with Java and R also being beneficial. - Machine Learning: Deep knowledge of algorithms, data structures, and statistical methods is essential. - Frameworks and libraries: Experience with ML frameworks like TensorFlow, PyTorch, and libraries like scikit-learn is often required. - Problem-solving: Strong analytical and problem-solving skills are necessary. - Education: A Bachelor's degree in Computer Science, Mathematics, or a related field is common, with a Master's degree often preferred.
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