Machine Learning Specialist
6 days ago
About the Role:
This position involves creating and implementing machine learning models to drive business growth and improve operational efficiency.
Key Responsibilities:- Design, develop, and deploy complex machine learning models and algorithms to solve business problems and inform data-driven decision making.
- Collaborate with cross-functional teams to understand requirements and translate business objectives into scalable ML solutions.
- Develop and maintain robust ML pipelines for data preprocessing, feature engineering, model training, validation, and deployment.
- Optimize model performance through hyperparameter tuning, feature selection, and algorithmic improvements.
- Implement MLOps best practices, including model versioning, monitoring, and automated retraining workflows.
- Evaluate and enhance data quality, integrity, and security throughout the ML lifecycle.
- Scale ML systems to handle large datasets and high-throughput inference requirements.
- Conduct experimentation and A/B testing to validate model performance and business impact.
- Maintain deployed models for drift, performance degradation, and bias detection.
- Produce comprehensive documentation, including technical specifications and deployment guides, for stakeholders.
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