Job at a glance
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.