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Job Type

Full Time

Job Description

Role & Responsibilities:

• Work with both structured and unstructured data to extract meaningful insights.

• Assist in developing and implementing machine learning and deep learning models.

• Perform data cleaning, preprocessing, and feature engineering under guidance.

• Use Python libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, and others.

• Help in optimizing model performance and evaluating results using basic statistical metrics.

• Contribute to data visualization using tools like Matplotlib, Seaborn, or Power BI.

• Explore concepts in natural language processing (NLP) and image processing.

• Collaborate with team members to solve problems and share findings.

• Participate in discussions to enhance communication and teamwork skills.

Requirements:

• Basic understanding of Python programming and popular libraries (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn).

• Familiarity with data visualization tools and techniques.

• Introductory knowledge of large language models and AI concepts is a plus.

• Strong analytical thinking and problem-solving abilities.

• Eagerness to learn, contribute, and grow in a collaborative environment.

• Good communication skills and a proactive attitude.

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