Molly Depew
Miami,Florida
Summary
Senior MLOps Engineer with 7+ years of experience in designing and automating scalable machine learning infrastructure for enterprise clients. Expertise in cloud-native tools such as Vertex AI and Kubernetes, with a solid background in Infrastructure as Code and CI/CD practices. Skilled in operationalizing complex models to minimize drift, reduce costs, and enhance business value. Demonstrates strong adaptability and a commitment to continuous learning.
Overview
7
7
years of professional experience
1
1
Certification
Work History
Senior MLOPs
Trunk Tools
New York, New York
09.2025 - 01.2026
- Led deployment of proprietary Vision Language Model using Terraform, streamlining ML lifecycle management.
- Implemented auto-scaling policies via Terraform, managing 5k+ requests/hour and achieving 40% reduction in monthly GPU expenses.
- Operationalized Supervised Fine-Tuning pipelines with Docker, automating training job provisioning for consistent environments.
- Engineered optimized Docker container to decrease inference latency by 35%, achieving 800ms response time.
Senior MLOPs Engineer
Egen LLC (Qarik)
01.2024 - 09.2025
- Designed and implemented comprehensive MLOps pipelines using Google Cloud's Vertex AI and Terraform.
- Automated model lifecycle processes to enhance deployment speed and scalability.
- Streamlined deployment processes to accelerate iteration from development to production.
- Ensured production machine learning models met acceptance criteria for performance and reliability.
- Established centralized governance framework for complete model traceability throughout its lifecycle.
- Developed intelligent monitoring solutions with event-driven architectures, minimizing manual oversight.
- Maintained transparency and accountability in machine learning operations through rigorous oversight.
- Fostered compliance with industry standards and regulatory requirements in all ML initiatives.
Senior DevOps Engineer
Zebra Technologies
01.2021 - 01.2024
- Enhanced real-time data processing performance for edge AI through parallel and distributed computing.
- Streamlined on-device deployment by balancing inference speed with model accuracy.
- Ensured rapid and efficient data throughput in demanding environments through strategic implementations.
- Led optimization of machine learning models using advanced quantization techniques.
Site Reliability Engineer (SRE)
UKG
Lowell, MA
05.2019 - 01.2021
- Orchestrated seamless migration to Google Cloud Platform, automating deployment pipelines through CI/CD practices to reduce manual effort and error potential.
- Implemented end-to-end monitoring solutions, minimizing customer impact during migration process.
- Applied advanced time-series forecasting models to analyze application logs, enabling early identification of potential system outages.
- Improved system stability and minimized downtime through outage predictions that informed strategic business decisions.
- Developed dynamic infrastructure scaling solution, transitioning from single-tenant VMs to Kubernetes deployments for improved resource management.
- Leveraged horizontal scaling in Kubernetes to automatically adjust resources based on demand fluctuations.
- Ensured optimal application performance during peak loads and prevented over-provisioning during off-peak times, achieving cost efficiencies.
- Maintained high service availability while optimizing resource allocation through innovative scaling strategies.
Education
B.S. - Theoretical Mathematics
University of Vermont
01.2017
Skills
MLOps & ML Platforms:
- Vertex AI and Kubeflow
- SageMaker
- W&B and MLflow
- Run AI
Infrastructure as Code:
- Terraform
- Config Connector (CRDs)
- Pulumi
- Ansible
Containerization:
- Docker
- Kubernetes (Certified Kubernetes Administrator)
CI/CD & Automation:
- GitHub Actions
- Cloud Build, Cloud Deploy
- Jenkins
- Circle CI
- Spacelift
Certification
Certified Kubernetes Administrator (CKAD), 01/01/21
Timeline
Senior MLOPs
Trunk Tools
09.2025 - 01.2026
Senior MLOPs Engineer
Egen LLC (Qarik)
01.2024 - 09.2025
Senior DevOps Engineer
Zebra Technologies
01.2021 - 01.2024
Site Reliability Engineer (SRE)
UKG
05.2019 - 01.2021
B.S. - Theoretical Mathematics
University of Vermont