Collect, clean, and pre process datasets for machine learning projects.

Perform exploratory data analysis (EDA) and identify meaningful insights.

Assist in building, training, and evaluating machine learning models.

Work on classification, regression, and predictive analytics tasks.

Develop and optimize ML pipelines and algorithms.

Document experiments, model performance, and project outcomes.

Collaborate with team members on AI/ML solutions and research initiatives.

Stay updated with the latest developments in AI, ML, and Generative AI technologies.

Requirements

Basic knowledge of Python programming.

Understanding of Machine Learning concepts and algorithms.

Familiarity with Pandas, NumPy, and Scikit-learn.

Knowledge of Statistics and Data Analysis.

Strong analytical and problem-solving skills.

Good communication and teamwork abilities.

Skill richieste

Python programmingData collection and ingestionData cleaning and preprocessingExploratory Data Analysis (EDA)Statistics and data analysisPandasNumPyScikit-learnUnderstanding of machine learning concepts and algorithmsMachine learning model development (building, training, evaluating)Supervised learning: classification, regression, predictive analyticsML pipeline development and optimizationExperiment documentation and model performance reportingCommunication and teamworkContinuous learning / staying updated on AI, ML, Generative AI

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