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Added 5 days ago
Senior Software Engineer
Advantest
San Jose, CA · Austin, TX
Proficiency in modern software development languages such as Python, Java, C++, Rust, or JavaScript/TypeScript.
Added 5 days ago
GIS Operations Officer
Vantor Services Inc.
McLean, VA
Experience with SQL Developer, VBA, Visual Basic, ArcObjects, and/or Python programming languages.
Added 5 days ago
Geospatial Developer
Vantor Services Inc.
Reston, VA
Vantor is seeking a Geospatial Developer to design, build, and support high-impact geospatial applications, REST integrations, and data pipelines across our enterprise GIS environment. In…
Added 5 days ago
Senior Identity Security Engineer
Kansas City, MO
Proficiency with PowerShell, Python, REST APIs, automation tools, authentication protocols (SAML, OAuth 2.0, OpenID Connect, Kerberos, RADIUS, SCIM), and experience supporting audit,…
Added 5 days ago
Software Engineer Senior
GD Information Technology, Inc.
United States
· Experience in Python and TypeScript, with experience developing, testing, and maintaining production software applications.
Added 5 days ago
Data Engineer
Booz Allen Hamilton_United States
Tampa, FL
2+ years of experience using programming languages, including C++, Java, or Python
Added 5 days ago
Site Reliability Engineer
Booz Allen Hamilton_United States
Reston, VA
Experience developing automation and scripting solutions using Bash or Python and supporting software upgrades, patching, operational requests, and incident response activities
Added 5 days ago
Controllership AI Solution Architect
Booz Allen Hamilton_United States
McLean, VA
Ability to independently build and ship working prototypes using programming languages such as Python
Added 5 days ago
Cloud Infrastructure & Core Services DevOps Engineer
Booz Allen Hamilton_United States
North Charleston, SC · Washington, DC
Experience automating infrastructure and operational tasks using scripting languages such as Python or Bash
Added 5 days ago
Identity Provider Administrator
Booz Allen Hamilton_United States
Reston, VA · McLean, VA
Experience with languages used for identity platform development and automation such as Java, JavaScript, Python, PowerShell, or Groovy
Added 5 days ago
University, AI RAN Telecommunications Engineer Intern
Booz Allen Hamilton_United States
McLean, VA
Experience using programming or technical computing tools such as Python, C/C++, or MATLAB
Added 5 days ago
DevOps Engineer
Booz Allen Hamilton_United States
Beavercreek, OH
2+ years of experience scripting or automation using Bash, Python, or PowerShell
Added 5 days ago
K
Data Engineer (Azure)
Kforce
New York, NY
- $45 to $50 USD / hour
…engagement. This Data Engineer will possess strong experience with Python and/or PySpark needed along with Azure Data Lake, ETL, ELT, and…
Added 5 days ago
Software Engineer II - AI Platforms
US: Mastercard International Incor
Atlanta, GA
Proficiency in object-oriented programming and backend development using Java, Kotlin, Python, or a similar language.
Added 5 days ago
Software Engineer II - AI Platforms
US: Mastercard International Incor
Atlanta, GA
Proficiency in object-oriented programming and backend development using Java, Kotlin, Python, or a similar language.
Added 5 days ago
Senior Software Engineer - AI Platforms
US: Mastercard International Incor
Atlanta, GA
Strong proficiency in object-oriented programming and backend development (e.g., Java, Kotlin, Python, or similar).
Added 5 days ago
Manager, Software Engineering, AI Foundations
US: Mastercard International Incor
Atlanta, GA
Strong background in distributed systems, object-oriented programming, and backend engineering (e.g., Java, Python, or similar).
Added 5 days ago
T
RF Automation QA Engineer
TEKsystems
Cupertino, CA
- $45 to $60 USD / hour
Advanced programming skills in Python and/or C++.
Added 5 days ago
Data Scientist
ADT
Irving, TX
Advanced proficiency in (Python with deep experience in data modeling packages.
Added 5 days ago
Customer Success Analyst
Heartflow
Rohnert Park, CA · San Francisco, CA
…as a core part of how they work, from accelerating SQL and Python development to classifying and summarizing unstructured ticket data, and who is excited to help build the automated,…
Added 5 days ago
Sr DevOps Engineer
ACI Worldwide
Norcross, GA
Added 5 days ago
DevOps Engineer
ACI Worldwide
Norcross, GA
Added 5 days ago
Sr Data Scientist
Health Care Service Corp.
Chicago, IL
Experience with enterprise AI platforms (Databricks, Microsoft Foundry, or comparable) and Python frameworks for LLM applications.
Added 5 days ago
AVP, DevOps Engineer
LPL Financial Corp
Austin, TX
7+ years experience leading automation initiatives using programming and scripting languages such as Python, Go, Java, or similar technologies.
Added 5 days ago
Lead QA Engineer
Ambry Genetics Corporation
United States
Expert-level programming ability in Java and/or Python, with strong design instincts (Page Object Model, dependency management, avoiding brittle waits and copy-paste tests) and a habit of…

Closed listing

ADT

Machine Learning Engineer

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

This opening has closed.

The original listing is kept below for reference.

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About employer

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

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Original job description

Archived listing. The details below describe a past opening.

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%

About employer

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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