Design and deploy AI models for predictive analytics, optimize machine learning models, preprocess data, and monitor model performance.
Key Responsibilities:
- Design, develop, and deploy AI models for predictive analytics.
- Build and optimize machine learning models for tasks like classification, forecasting, and risk prediction.
- Preprocess and clean data to improve model accuracy and efficiency.
- Experiment with different feature engineering techniques to enhance predictions.
- Monitor model performance and fine-tune parameters to improve results.
Qualifications:
- 1+ years of experience in AI development or machine learning.
- Proficiency in Python and experience with machine learning libraries such as TensorFlow, PyTorch, or scikit-learn.
- Familiarity with data preprocessing and feature engineering.
- Ability to work independently and in a team environment.
- Good problem-solving and analytical skills.
- Strong communication skills to explain AI concepts to non-technical stakeholders.
Top Skills
Python
PyTorch
Scikit-Learn
TensorFlow
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