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AI/ML Engineer (Computer Vision)
CACI, INC.-FEDERAL
Ashburn, VA
CACI is currently looking for an AI/ML Computer Vision Engineer with Agile methodology experience to join our BEAGLE (Border Enforcement Applications for Government Leading-Edge Information…
Added just now
Presales Engineer
ID Technologies, LLC
Chantilly, VA
CACI is looking for a Presales Engineer to support the technical sales process for a value-added reseller (VAR) serving U.S. federal government and defense customers. This mid-level role…
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Ground Systems Engineer, Asset Engineering
SpaceX
Hawthorne, CA
As a ground systems engineer you will be directly responsible for the design, build, integration, and sustainment of system-level cryogenic and high pressure infrastructure across programs.…
Added 4 mins ago
WI
(USA) Principal, Software Engineer
Walmart Inc.
United States
- $110,000 to $220,000 USD / year
The Principal Software Engineer leads platform engineering efforts by delivering scalable, cloud-native solutions and reusable infrastructure components. This role drives the full software…
Added 5 mins ago
MA
2027 Technology Development Program - Operating Systems Engineer
Manufacturers and Traders Trust Co
Buffalo, NY
- $29.57 to $43.99 USD / hour
…technology environment, with a primary focus on operating system infrastructure hosted in Amazon Web Services (AWS). Team members help maintain, automate, and improve platform services…
Added 6 mins ago
Senior Core Infrastructure Engineer
Oracle
Santa Clara, CA · Seattle, WA
Are you passionate about building highly scalable distributed systems and solving complex infrastructure challenges?
Added 8 mins ago
Principal Network Engineer - Routing & Switching
LEIDOS, INC.
Odenton, MD
Leidos is seeking a Principal Network Engineer specializing in routing and switching to serve as the senior technical authority for the routed and switched enterprise. The role is…
Added 8 mins ago
Senior Cloud Engineer
LEIDOS, INC.
Reston, VA
Leidos is seeking an experienced Senior Cloud Engineer to join our Mission Enablement Center (MDEC) Cloud Engineering Team in Reston, Virginia. This is a hybrid position requiring regular…
Added 8 mins ago
Senior DevOps Engineer
LEIDOS, INC.
Remote, United States
The Mission Enablement Center (MDEC) is seeking an experienced Senior DevOps Engineer to support its Cloud Engineering team. This hands-on position supports the design, deployment,…
Added 8 mins ago
Network Engineer III
LEIDOS, INC.
Huntsville, AL · Las Cruces, NM · Merritt Island, FL · Stennis Space Center, MS · Houston, TX · Greenbelt, MD · Hampton, VA · Mountain View, CA · Wallops Island, VA · Cleveland, OH · Washington, DC
Leidos is seeking a highly skilled and experienced Network Engineer to support the Advanced Enterprise Global Information Technology Solutions (AEGIS) program and join a large engineering…
Added 8 mins ago
Principal Network Engineer - Wireless
LEIDOS, INC.
Odenton, MD
Leidos is seeking a Principal Network Engineer – Wireless to lead engineering, deployment, and modernization of a large-scale, geographically distributed enterprise wireless network…
Added 8 mins ago
Transmission Line Engineer
LEIDOS ENGINEERING INC
Remote, United States
Join a premier team solving the complex puzzles of the modern power grid. As a Transmission Line Engineer, you won’t just be drafting; you’ll be designing the backbone of the nation's…
Added 8 mins ago
Senior Transmission Line Engineer
LEIDOS ENGINEERING INC
Remote, United States
We are seeking a Senior Transmission Line Engineer who will work as a member of a dynamic team in a fast-paced environment, solving challenging problems in electric transmission.
Added 8 mins ago
Software Systems Engineer - HP IQ
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Develop device-focused infrastructure software in Python
Added 9 mins ago
Data Center Network Engineer
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Salt Lake City, UT
Data Center Network Engineer / Data Center Network Architect
Added 9 mins ago
Data Center Network Architect
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Data Center Network Engineer / Data Center Network Architect
Added 11 mins ago
CO
Public Works Project Manager
City of Cupertino
Cupertino, CA
- $75.41 to $91.66 USD / hour
…with the Capital Improvement Programs Manager and Senior Civil Engineer, the successful candidate will manage a variety of high-profile projects that enhance the City's infrastructure,…
Added 12 mins ago
Cloud Infrastructure Engineer II
Astreya Partners, LLC
Oakland, CA
We are looking for a Cloud Platform Engineer. This role will be responsible for cloud infrastructure management, CI/CD automation, platform reliability, security compliance, and production…
Added 14 mins ago
DevOps Engineer I
USA MOT Motion Industries, Inc.
Birmingham, AL
Under close supervision, the DevOps Engineer I supports the development, security, infrastructure, and operations teams in delivering secure, reliable, and automated software delivery…
Added 15 mins ago
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Server Engineer Lead
TEKsystems
Oshkosh, WI
- $92,000 to $154,000 USD / year
DescriptionThe Server Engineer Lead will provide technical leadership for enterprise virtualization infrastructure, participate in long-term architecture planning, and support strategic…
Added 16 mins ago
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Forward Deployed Engineer
Luv Bridal
American Fork, UT
- $110,000 to $120,000 USD / year
Luv Bridal is seeking an exceptional Forward Deployed Engineer to join our technology team and help build the next generation of applications, integrations, data products, automations, and…
Added 16 mins ago
Software Engineer: Frontend
Generalist
Somerville, MA
We’re looking for a Frontend Engineer to build the interfaces that make advanced robotics intuitive and useful. Your work will help researchers understand model behavior, operators manage…
Added 16 mins ago
G
Software Engineer: ML Infra
Generalist
Somerville, MA
- $260,000 to $350,000 USD / year
…very large numbers of the latest generation GPU hardware and infrastructure (currently Nvidia) to run distributed training jobs and researcher experiments. We have extreme requirements on…
Added 16 mins ago
Software Engineer: Infrastructure
Generalist
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This role broadly owns infrastructure across the stack. If it’s running in the cloud, you probably care about it. The life blood of robotics is data, and we need high scale infrastructure…
Added 19 mins ago
Office Engineer
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Arcadis is seeking a motivated Office Engineer to support the Gateway Hudson Tunnel Project (HTP), one of the most significant infrastructure initiatives in the United States. Serving as…

ADT

Machine Learning Engineer

Irving, TX, United States
Boca Raton, FL, United States

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Job details

Experience: Experience: 3+ years of professional software engineering or machine learning engineering experience, with a proven track record of deploying models to production environments.
Posting language: English
Posted: Nov 4, 2026

Original job description

Summary:

The Machine Learning Engineer will be responsible for designing, building, and deploying production-grade machine learning models and AI systems within ADT's Data & AI organization. This role bridges the gap between 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.

The ideal candidate is a software-focused engineer with deep expertise in machine learning frameworks, data pipelines, and MLOps practices. You will work closely with Data Scientists, Data Engineers, and Product teams to operationalize AI algorithms, automate model retraining cycles, and ensure our intelligence systems are secure, scalable, and highly available.

Duties and Responsibilities:

Production Deployment & Scaling: Operationalize and scale machine learning models into production systems via GCP Vertex AI, ensuring low-latency execution and high availability.
MLOps & Pipeline Automation: Design, implement, and maintain robust end-to-end ML pipelines for data preprocessing, continuous model training, and evaluation using Vertex AI Pipelines (Kubeflow/TFX) and GCP CI/CD toolchains.
Model Optimization: Optimize ML algorithms, large language models (LLMs), and deep learning models for computational efficiency using GCP infrastructure (GPUs/TPUs) and edge-computing constraints.
Monitoring & Drift Detection: Build tracking and observability systems to monitor production model performance, logging, and data/concept drift leveraging Vertex AI Model Monitoring and Google Cloud Storage solutions.
Infrastructure Collaboration: Partner with data engineering and platform teams to design, manage, and optimize scalable feature stores (Vertex AI Feature Store) and high-dimensional analytical data warehouses (BigQuery).
Cross-Functional Integration: Collaborate with software engineering and product development teams to embed ML capabilities into customer-facing ADT applications and core services via microservices/APIs.
Code Quality & Best Practices: Champion rigorous software engineering principles within the data science organization, including modular code design, comprehensive testing (unit/integration), and technical documentation.
Continuous Innovation: Stay current with the rapidly evolving ML engineering landscape, adopting cutting-edge tools, framework upgrades, and hardware accelerations to keep ADT competitive.

Minimum Qualifications:

Education: Bachelor’s degree (or equivalent experience) in Computer Science, Software Engineering, Data Science, Mathematics, or a highly quantitative field. (Master's degree preferred).
Experience: 3+ years of professional software engineering or machine learning engineering experience, with a proven track record of deploying models to production environments.
Technical Proficiency:
Advanced, production-grade proficiency in programming languages like Python, with strong object-oriented design skills.
Deep experience with core ML frameworks and libraries (e.g., PyTorch, TensorFlow, Scikit-Learn, XGBoost).
Strong familiarity with Google Cloud Platform (GCP), specifically Vertex AI (Pipelines, Feature Store, Model Registry), BigQuery, and Google Cloud Storage (GCS).
Solid experience constructing high-dimensional data pipelines using SQL, Spark on GCP, or Google Cloud Dataflow.
Software Practices: Strong understanding of Docker, Kubernetes (Google Kubernetes Engine - GKE), MLOps, CI/CD toolchains, and Bitbucket.
Ambiguity Management: Versatility to manage multiple technical priorities, apply structure to complex engineering challenges, and thrive in a fast-paced environment.

Required Licensing or Certifications:

Highly Preferred: Google Cloud Certified Professional Machine Learning Engineer or Professional Cloud Architect

Communication Skills:

Writing, Talking/Hearing on the phone (Continually=67-100% of workday)

Environment Requirements:

Remote/Home office (Continually=67-100% of the workday)

Travel:

Occasionally, less than 25%

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More about this job

Skills

Machine learning
Google Cloud
ML
Kubeflow
CI/CD
Deep learning
Collaboration
Data engineering
BigQuery
Microservices
Engineering principles
Documentation
Computer science
Programming languages
Python
PyTorch
TensorFlow
Scikit-learn
XGBoost
SQL
Apache Spark
Docker
Kubernetes
Atlassian Bitbucket
Communication skills

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