
Intelligent System Developer
5 days ago
The ideal candidate will have a deep understanding of machine learning algorithms and their application in real-world scenarios.
- Design, develop, and deploy scalable machine learning models to drive data-driven decision making
- Collaborate with cross-functional teams including data engineers and software engineers to understand requirements and translate business objectives into ML solutions
- Build robust ML pipelines for data preprocessing, feature engineering, model training, validation, and deployment
- Optimize model performance through hyperparameter tuning, feature selection, and algorithmic improvements
Technical Skills:
- Strong proficiency in Python and experience with core ML libraries such as scikit-learn and XGBoost
- Hands-on experience with deep learning frameworks including TensorFlow
- Solid understanding of machine learning algorithms, statistical methods, and model evaluation techniques
Preferred Qualifications:
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies Docker or Kubernetes
- Proficiency in SQL and experience working with both structured and unstructured datasets
Additional Information:
- Bachelor's or Master's degree in Computer Science, Machine Learning, Statistics, Mathematics, or related quantitative field
- 3+ years of experience in machine learning engineering or related roles
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