Machine Learning Engineer
Current
Salt Lake City, Ut, Us
At FamilySearch, I lead the design and implementation of cutting-edge MLOps infrastructure, ensuring the seamless integration of AI and machine learning models into our production environments.## Key Achievements- Architected and implemented a robust MLOps pipeline, significantly improving model deployment efficiency and reducing time-to-production- Led the adoption of continuous integration and continuous deployment (CI/CD) practices for ML models, resulting in faster iteration cycles and improved model quality- Established best practices for testing AI/ML algorithms, including validation, verification, and performance benchmarking across the organization## Core Competencies- MLOps Infrastructure Design- AI/ML Model Testing and Validation- Automated Testing Frameworks- CI/CD Pipeline Integration for ML- Large-scale Data Handling- Model Performance Optimization- Technical Leadership and Mentoring## ImpactI work at the intersection of software engineering and data science, bridging the gap between ML model development and production deployment. My focus is on creating scalable, reliable, and efficient infrastructure that enables our organization to leverage the full potential of AI and ML technologies in furthering our mission.#MLOps #ArtificialIntelligence #MachineLearning #SoftwareTestingAutomation #CI/CD
