Remote ML Engineer - Scale Production AI & MLOps

ADT; Boca Raton (FL); Remote; USD 110,000 - 170,000; Full time

Benefits offered by this job

Remote work

Job summary

ADT is seeking a Machine Learning Engineer to design, build, and deploy production-grade ML models within its Data & AI organization. This role bridges data science research and software engineering, taking theoretical models and scaling them to run efficiently across ADT’s vast ecosystem—from high-throughput cloud architectures to edge devices and smart home IoT telemetry.

You will join cross-functional teams to embed ML capabilities into customer-facing ADT applications, ensuring robust

Qualifications

• Bachelor’s degree in CS/Math/related field or equivalent.
• 3+ years of professional software or ML engineering experience.
• Advanced Python and OO design skills.
• Deep experience with ML frameworks (PyTorch, TensorFlow, Scikit-Learn).
• Strong GCP knowledge: Vertex AI, BigQuery, GCS; data pipelines experience.
• Docker, Kubernetes, CI/CD, and MLOps practices.
• Ability to manage multiple priorities in a fast-paced environment.
• Excellent communication and teamwork.

Responsibilities

• Design, build and deploy production-grade ML models.
• Operationalize ML pipelines using Vertex AI Pipelines and Kubeflow/TFX.
• Optimize models for latency and edge deployments.
• Monitor performance and drift with Vertex AI Model Monitoring.
• Collaborate with data engineering and platform teams on feature stores and data warehouses.
• Embed ML capabilities into ADT apps via APIs and microservices.
• Maintain code quality with modular design, tests, and docs.

Skills

Python

PyTorch

TensorFlow

GCP Vertex AI

BigQuery

Kubernetes

SQL

MLOps

Education

Bachelor’s degree in CS/related

Master’s preferred

Tools

Docker

Kubernetes

Vertex AI Pipelines

GCS

BigQuery

Dataflow

Job description

ADT is seeking a Machine Learning Engineer to design, build, and deploy production-grade ML models within its Data & AI organization. This role bridges data science research and software engineering, taking theoretical models and scaling them to run efficiently across ADT’s vast ecosystem—from high-throughput cloud architectures to edge devices and smart home IoT telemetry.

You will join cross-functional teams to embed ML capabilities into customer-facing ADT applications, ensuring robust