Overview
Skills
Job Details
Job Description:-
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Work on real-world data science and AI projects under the guidance of senior team members.
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Build, test, and deploy machine learning models using Python libraries (e.g., scikit-learn, TensorFlow, PyTorch).
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Conduct data cleaning, preprocessing, and exploratory data analysis (EDA).
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Collaborate with cross-functional teams including data engineers, analysts, and product managers.
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Assist in the automation of workflows and building data pipelines.
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Translate business problems into analytical tasks and communicate findings clearly through visualizations or reports.
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Stay current with trends and advancements in AI, ML, and data science.
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Recently completed or in final stages of a Bachelor's or Master's degree in Data Science, Computer Science, AI, Statistics, Mathematics, or a related field.
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Solid understanding of machine learning concepts and algorithms (classification, regression, clustering, etc.).
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Proficient in Python and its data science ecosystem (NumPy, pandas, scikit-learn, matplotlib, etc.).
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Strong problem-solving skills and logical thinking.
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Basic knowledge of SQL and data querying.
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Effective communication and teamwork abilities.