Description:
Role:
- Design, develop, and implement machine learning models using tools like AWS Bedrock, SageMaker, QuickSight, and other AWS services to address public safety challenges.
- Collaborate with developers, data engineers, and system SMEs to identify opportunities for AI-driven improvements and solutions, while providing insightful visualizations of key metrics using AWS QuickSight.
- Build and train predictive models to enhance decision-making processes and operational efficiency.
- Conduct data analysis, feature engineering, and visualization to ensure data quality and improve model performance.
- Use AWS QuickSight to build interactive dashboards and reports, presenting complex data findings in a clear, actionable way for clients and stakeholders, and business leaders.
- Monitor model performance, ensuring ongoing accuracy and reliability, and troubleshoot any issues that arise in production environments.
- Document processes, data science methodologies, and model outputs for transparency and future reference.
Minimum Years of Experience: 7 Years
Education and skills:
- Experience: 4+ years of experience in data science, machine learning, or a related field.
- Education: Bachelor’s degree in Computer Science, Data Science, Machine Learning, or a related field. Master’s degree preferred.
- Proficiency with machine learning frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (e.g., Amazon SageMaker, Bedrock, QuickSight).
- Strong programming skills in Python, with experience in data manipulation, analysis, and visualization.
- Experience building, training, and deploying ML models using AWS services, along with creating data visualizations in AWS QuickSight.
- Excellent communication skills with the ability to present complex technical concepts and visualizations to non-technical stakeholders.
- Strong analytical and problem-solving skills with a focus on innovation.
- Experience with data preprocessing, feature engineering, and model optimization.