Job highlights
Skillsets & Qualification . Fresh graduate in Computer Science,Engineering,Mathematics,Data Science,or related fields (or equivalent practical experience)
Proficiency in programming languages such as Python and knowledge of libraries like NumPy,Pandas,and Matplotlib
Positive understanding of linear algebra,calculus,and probability

Skillsets & Qualification
Fresh graduate in Computer Science, Engineering, Mathematics, Data Science, or related fields (or equivalent practical experience).
Strong understanding of basic AI/ML concepts, algorithms, and techniques.
Proficiency in programming languages such as Python and knowledge of libraries like NumPy, Pandas, and Matplotlib.
Familiarity with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn.
Knowledge of data manipulation, statistical analysis, and data visualization.
Positive understanding of linear algebra, calculus, and probability.
Willingness to learn and adapt to current technologies in the AI/ML field.
Ability to work in a team and communicate technical concepts effectively.




Strong problem-solving and analytical thinking skills.

Responsibilities
Assist in the development and deployment of machine learning models and algorithms.
Work on data preprocessing, feature engineering, and data analysis tasks.
Learn to design and implement ML models using popular libraries such as TensorFlow, PyTorch, scikit-learn, and Keras.
Collaborate with senior team members to solve real-world problems with AI/ML techniques.
Experiment with different AI/ML algorithms to improve model performance and accuracy.
Develop data pipelines and automate processes to enhance data collection, cleaning, and analysis.
Assist in the preparation of reports and documentation regarding model performance and insights.
Participate in research and development of new techniques in machine learning and AI.
Learn to deploy models and work with cloud-based platforms like AWS, Google Cloud, or Azure.

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