Jobs in the United States

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Added 1 min ago
Implementation Engineer
HART, INC.
Bozeman, MT
Hart is seeking a motivated, healthcare data implementation engineer with minimum 3 years of experience to join our Delivery Services team. This role focuses on developing, maintaining, and…
Added 2 mins ago
Staff Security Engineer- Security and Compliance
Veeam Software
San Jose, CA
Strong coding and code-review skills in one or more languages such as Go, Python, Java, or TypeScript, with the ability to validate vulnerabilities and build security tooling.
Added 2 mins ago
CF
Intern - Structural Engineer - Summer 2027
Commonwealth Fusion Systems
Devens, MA
- $25 to $38 USD / hour
Prior experience performing structural analysis hand calculations, finite element analysis, Python scripting or familiarity with ASME Boiler Pressure Vessel Code. None are required. All are…
Added 5 mins ago
Forward Deployed AI Engineer
SAP
New York, NY
As a Forward Deployed AI Engineer, you will independently build AI-native enterprise applications and work directly with customers to solve complex business problems. You will own technical…
Added 5 mins ago
Cybersecurity Vulnerability Engineer
CACI, INC.-FEDERAL
Fort Bragg, NC
Job Title: Cybersecurity Vulnerability Engineer
Added 6 mins ago
Specialist, Information Security Systems Engineer
L3Harris
Greenville, TX
Job Title: Specialist, Information Security Systems Engineer
Added 7 mins ago
Back End Engineer
Robert Half
Bryan, TX
Description We are looking for a Back End Engineer to join a long-term contract opportunity in Texas. In this role, you will create reliable backend systems and data processing solutions…
Added 8 mins ago
AI Red Team Lead Engineer
U.S. Bank
Irving, TX
The AI Red Team Lead Engineer leads the execution and evolution of offensive security activities focused on AI/ML systems, platforms, and integrations, in addition to traditional enterprise…
Added 8 mins ago
Senior Software Engineer (Python)
Wells Fargo
IRVING, TX
Wells Fargo is seeking a Senior Software Engineer (Python) within the Secured Network Services organization. This role will focus on designing and delivering automation solutions that…
Added 8 mins ago
Sr. Low Latency Enterprise Solutions Architect - VP
Citigroup
Irving, TX
Engineering Background: Prior experience as a Senior Network Engineer, Network Architect, or Systems Infrastructure Engineer in a high-volume financial services, electronic trading, or…
Added 8 mins ago
ND
Senior Full Stack Backend Engineer (Java, Spring Boot, Cloud & DevOps)
NTT Data Americas, Inc.
Irving, TX
- $60 to $70 USD / hour
NTT DATA's Client is currently seeking a Senior Full Stack Backend Engineer (Java, Spring Boot, Cloud & DevOps) to join their team in Irving, Texas (US-TX), United States (US).
Added 8 mins ago
Python Developer
Robert Half
Plano, TX
Description We are looking for a Python Developer to join a financial services organization in Plano, Texas on a contract-to-permanent basis. This opportunity is ideal for an engineer who…
Added 8 mins ago
CQS P&O Performance Manager
Toyota
Plano, TX
…managing and supporting engineers who use Power BI, Alteryx, Python, and related tools to visualize data, promote EDER KPI achievement, and improve process efficiency through data insights…
Added 8 mins ago
Software Engineer II - AI/ML
JPMorgan Chase
Plano, TX
As a Software Engineer at JPMorganChase within the Consumer & Community Banking-Home Lending Servicing group, you are an integral part of an agile team that works to enhance, build, and…
Added 8 mins ago
Sr Associate Engineer/ Engineer, IT Data
American Airlines
Fort Worth, TX
Added 8 mins ago
Sr Engineer, IT Software
American Airlines
Fort Worth, TX
Programming Languages: Java, Python, C#, Javascript/Typescript
Added 8 mins ago
Network Security Engineer
Robert Half
San Antonio, TX
Description We are looking for a Network Security Engineer to support and strengthen enterprise network operations in San Antonio, Texas. This role focuses on securing and optimizing both…
Added 8 mins ago
Validation Engineer
Texas Instruments
Dallas, TX
Texas Instruments is seeking an Engineer - Validation to join our Analog Power Products organization in Dallas. Depending on your background and the needs of the team, you will be placed…
Added 9 mins ago
Data Platform Engineer
Deloitte
Dallas, TX
Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As a Data Engineer, you will have the ability to share new ideas and collaborate…
Added 9 mins ago
Data Engineer
Deloitte
Dallas, TX
…work in a collaborative environment? As an experienced Data Engineer, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands…
Added 9 mins ago
Application Support Manager (SRE)
Deloitte
Dallas, TX
…work in a collaborative environment? As an Application Support Engineer, you will have the ability to share new ideas and collaborate on high-impact projects supporting mission-critical…
Added 9 mins ago
Senior Software Developer
Charles Schwab
Austin, TX
As a Software and Development Engineer on the Advisor Services Data Delivery Team, you will play a critical role in designing, building, and evolving cloud-based data solutions that power…
Added 9 mins ago
Sr. Application Security Engineer
American Express Global Business Travel
Austin, TX
We are seeking an experienced Senior Application Security Engineer to join our team in the corporate travel industry. This remote position requires a unique blend of application development…
Added 9 mins ago
Software Quality Engineer, Secure Firewall
Cisco
Austin, TX
As a Software Quality Engineer, you will independently own assigned test areas and validate complex, end-to-end customer workflows across physical, virtual, and cloud environments. You will…
Added 10 mins ago
CPU Performance Research Engineer
Qualcomm Incorporated
Austin, TX
…connected future for all. As a Qualcomm CPU Performance Research Engineer, you will drive innovation in next-generation CPU performance, efficiency, and scalability. Qualcomm Engineers…

ADT

Machine Learning Engineer

Boca Raton, FL, United States

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Job details

Posting language: English
Posted: Oct 29, 2026

Original job description

Summary:

As an ML Engineer II on the AI, Automation & Data team, you will independently design, deploy, operate, and continuously improve production machine learning, generative AI, and agent-enabled solutions that deliver measurable business value. This hands-on role combines end-to-end ML product ownership with ownership of defined components within shared MLOps, Feature Store, model-observability, AgentOps, and GenAIOps capabilities.

You will lead moderately complex implementations, mentor junior team members and interns, and work with ML Engineers, Data Engineers, Data Scientists, Architects, Product and Domain Owners, and business partners. Enterprise architecture, organization-wide technical strategy, platform roadmaps, and final governance authority remain with Senior, Lead, and Architecture roles.

Core Responsibilities:

Own small-to-medium ML, generative AI, and agent-enabled solutions through design, implementation, deployment, monitoring, support, performance optimization, lifecycle management, and continuous improvement.
Design and lead moderately complex production ML implementations using established architecture patterns and approved Google Cloud services, including Vertex AI and BigQuery where appropriate.
Own and enhance defined components of shared MLOps, Feature Store, model-observability, AgentOps, GenAIOps, deployment, or reusable ML-service capabilities that support multiple products and teams.
Develop modular, reusable, secure, and testable Python solutions for data preparation, feature engineering, model development, packaging, deployment, validation, monitoring, and automation.
Improve MLOps pipelines, CI/CD patterns, templates, controls, and engineering accelerators using Git, peer review, automated testing, documentation, versioning, and operational standards.
Lead monitoring and troubleshooting for model performance, drift, reliability, data quality, and operational health; coordinate remediation, incident response, and appropriate escalation.
Lead model documentation, validation, and production-readiness activities while ensuring adherence to established responsible AI, legal, compliance, security, architecture, and engineering requirements.
Partner with Data Engineers to design, validate, and improve trusted, reusable features and datasets, and use SQL and BigQuery for exploration, reconciliation, feature preparation, and performance analysis.
Build and evaluate models using appropriate techniques, metrics, validation, explainability, and reproducibility practices; guide less-experienced engineers in applying these practices.
Design and operationalize GenAI, retrieval-augmented generation, and agent-enabled solutions using approved enterprise models, data, tools, APIs, and guardrails.
Review code, technical designs, deployment approaches, and AI-assisted outputs; provide actionable feedback and ensure alignment with team standards and maintainability expectations.
Mentor junior team members and interns through onboarding, technical coaching, pair development, code reviews, design reviews, and knowledge sharing.
Communicate design decisions, delivery status, production health, risks, and recommendations to technical and non-technical stakeholders; participate in agile planning and cross-functional delivery.

Required Qualifications:

Bachelor's or master’s degree in computer science, data science, engineering, information systems, or a related field, or equivalent practical experience.
Five or more years of relevant experience in ML engineering, MLOps, data science, software engineering, or a closely related discipline.
Advanced Python proficiency and strong SQL proficiency for model development, production engineering, automation, validation, troubleshooting, and performance optimization.
Demonstrated experience independently designing, deploying, monitoring, supporting, and improving production ML solutions.
Demonstrated experience with production MLOps concepts and practices, including CI/CD, packaging, deployment, versioning, reproducibility, observability, and lifecycle management.
Experience owning or materially enhancing reusable ML platform components, frameworks, services, templates, or engineering accelerators.
Experience with Git-based source control, automated testing, peer code reviews, technical documentation, APIs, and modular software-engineering practices.
Working knowledge of cloud architecture and hands-on experience with cloud-based ML and data services; familiarity with BigQuery or a comparable cloud data warehouse.
Experience leading technical reviews and mentoring less-experienced engineers, interns, or project contributors.
Strong analytical, troubleshooting, incident-management, communication, and cross-functional collaboration skills.

Preferred Qualifications:

Hands-on experience with Vertex AI or a comparable managed ML platform, including pipelines, registries, endpoints, or monitoring.
Experience with reusable Feature Store capabilities, shared model-observability services, or multi-product MLOps platform components.
Experience with scikit-learn, TensorFlow, PyTorch, XGBoost, or comparable ML frameworks.
Experience designing or operationalizing generative AI, retrieval-augmented generation, agent frameworks, AgentOps, or GenAIOps capabilities.
Familiarity with containers and additional Google Cloud services used for serverless processing, integration, orchestration, APIs, or monitoring, such as Cloud Run.
Experience supporting responsible AI, model risk, privacy, security, legal, compliance, or architecture reviews for production ML or AI solutions.

Team & Culture:

Collaborates effectively with ML Engineers, Data Engineers, Data Scientists, Architects, Product and Domain Owners, and business partners across onshore and offshore teams.
Demonstrates ownership, adaptability, accountability, sound technical judgment, and commitment to reliable production outcomes.
Provides constructive technical guidance, welcomes feedback, and helps develop Engineer I resources and interns without formal people-management accountability.
Supports knowledge sharing, responsible AI, reusable engineering, disciplined operations, and continuous improvement aligned with business objectives and technical standards.
Influences technical execution within defined areas of ownership while partnering with Senior, Lead, and Architecture roles on enterprise direction and roadmap decisions.

Job Identification: 3022584

Job Schedule: Full time

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