We're seeking a skilled AI Data Science expert to build and deploy machine learning models for our [e.g., e-commerce/analytics platform]. You'll analyze large datasets, develop predictive algorithms, and integrate AI solutions to optimize business processes. This is a freelance project with potential for ongoing work. Budget: [Specify your budget, e.g., $X - $Y]. Timeline: [e.g., 4-6 weeks initial phase].Key Responsibilities Collect, clean, and preprocess large datasets from various sources (e.g., SQL databases, APIs, CSV files).
Design and implement machine learning models using frameworks like TensorFlow, PyTorch, or Scikit-learn for tasks such as classification, regression, NLP, or computer vision.
Perform exploratory data analysis (EDA) and feature engineering to uncover insights and improve model performance.
Train, validate, and tune models with techniques like cross-validation, hyperparameter optimization (e.g., GridSearch, Bayesian optimization), and handle overfitting/underfitting.
Deploy models into production environments (e.g., via Docker, AWS SageMaker, or Flask APIs) and monitor performance with tools like MLflow or TensorBoard.
Integrate AI features, such as recommendation systems or anomaly detection, into existing applications.
Collaborate on data pipelines using tools like Apache Airflow, Spark, or Pandas for ETL processes.
Document code, models, and findings; provide reports and visualizations (e.g., using Matplotlib, Seaborn, or Tableau).
Ensure ethical AI practices, including bias mitigation and data privacy compliance (e.g., GDPR).
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