Data Analyst Trainee

Job type

Contractual / Temporary
Freelance
Internship
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Shift and schedule

Weekend availability
Morning shift
Night shift
Day shift

Benefits

Pulled from the full job description

Paid time off
Work from home

Full job description

About the Role

We are looking for a highly motivated AI/ML Intern to join our AI/ML research team. You will contribute to cutting-edge research in machine learning, deep learning, natural language processing, or computer vision, helping to develop novel algorithms and publish results in top conferences.

Responsibilities

Prepare technical reports and contribute to research papers or patents.
Stay up-to-date with the latest research trends and breakthroughs in AI/ML.
Gather and clean datasets from various sources (CSV, databases, APIs).
Perform feature engineering and data normalization.
Assist in building machine learning models using Python and libraries like Scikit-learn, TensorFlow, or PyTorch.
Tune hyperparameters and evaluate models using metrics like accuracy, precision, recall, F1-score.
Visualize data distributions and relationships using tools like matplotlib, seaborn, or Power BI.
Read research papers or blog articles to stay up to date with AI trends.
Test small-scale algorithms and evaluate their performance.
Learn basics of deploying ML models via Flask/Django APIs or platforms like AWS, GCP, or Azure.
Write clear documentation and prepare reports on model performance and findings.