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1 day ago
This role involves developing, deploying, and maintaining machine learning models to drive business growth.
Key responsibilities include:
- Converting SAS code to Python equivalents using various libraries.
- Developing strong mathematics and statistics skills to inform data-driven decisions.
- Staying up-to-date with the latest AI-specific tools and technologies.
The ideal candidate will have hands-on experience in programming languages such as SAS, Python, Scikit-Learn, TensorFlow, PyTorch, and Keras.
Additional requirements include:
- Proficiency in exploratory data analysis, machine learning, and deep learning algorithms.
- Knowledge of model building, hyperparameter tuning, and performance metrics.
- Experience with MLOps, data pipeline, data engineering, and cloud-based services.
- Basic knowledge of statistics, including probability distributions and hypothesis testing.
Preferred skills include time series modeling, forecasting, image/video analytics, and natural language processing.
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