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Desktop / Endpoint Engineer
SEI Global Services, Inc.
Oaks, PA
SEI is seeking a Desktop/Endpoint Engineer. Join a team responsible for delivering a secure, modern, and reliable endpoint experience across a global enterprise. As a Desktop Engineer, you…
Added 1 min ago
Senior/Principal Analog Engineer
Automation Displays
Rosenberg, TX
Position: Senior/Principal Analog Engineer (level based on experience)
Added 1 min ago
CC
Senior AI Software Engineer
Continental Casualty Company
Chicago, IL
- $72,000 to $141,000 USD / year
Enable automation of repeatable business processes using AI
Added 1 min ago
Software Engineer
Humana Inc.
Remote, United States
We are seeking a Software Engineer with experience developing, testing, and supporting production applications. The preferred candidate will have exposure to Epic or a similar healthcare…
Added 1 min ago
Forward-Deployed Engineer
Bask Health
Remote, United States
As a Senior Forward-Deployed Engineer at Bask, you will work directly with the CEO and CTO to build and design the software infrastructure that will serve as the backbone of Telehealth.…
Added 1 min ago
Engineer - HPC Platform
Xenon7
Remote, United States
The Cloud and Connectivity organization is seeking an engineer in HPC platforms. This role will focus on enabling analytical, statistical, and scientific computing capabilities within high…
Added 1 min ago
Engineer - HPC Platform
Xenon7
Remote, United States
The Cloud and Connectivity organization is seeking an engineer in HPC platforms. This role will focus on enabling analytical, statistical, and scientific computing capabilities within high…
Added 1 min ago
Engineer - HPC Platform
Xenon7
Remote, United States
The Cloud and Connectivity organization is seeking an engineer in HPC platforms. This role will focus on enabling analytical, statistical, and scientific computing capabilities within high…
Added 1 min ago
Cloud Engineer
neurohire.ai
Remote, United States
NeuroHire is seeking a motivated and technically curious Cloud Engineer to join our team. In this role, you will support the development, deployment, monitoring, and maintenance of…
Added 1 min ago
Consultant -- Azure, Data & AI
Coretek Services
Remote, United States
DevOps & Automation: Implement version control, CI/CD pipelines, and automation using Azure DevOps, GitHub Actions, and Infrastructure as Code tools (Bicep, Terraform).
Added 4 mins ago
Principal Engineer - Global MSAT, Site based, Redmond, WA
Just - Evotec Biologics, Inc.
Seattle, WA
We’re looking for a passionate and curious Principal Process Engineer to join our team. If you’re excited by new challenges, solving complex problems, and learning every step of the way,…
Added 6 mins ago
Cloud Engineer Adobe AEM as a Cloud Service and Vercel
3Core Systems, Inc
Chicago, IL
Job Title: Cloud Engineer Adobe AEM as a Cloud Service and Vercel
Added 6 mins ago
Software Developer 2
3Core Systems, Inc
Bellville, TX
with API integrations and workflow automation.
Added 7 mins ago
Environmental (EHS) Engineer - Waste Water
Howmet Aerospace
Whitehall, MI
Howmet Whitehall Operation, Whitehall, MI facility has an opening for an Environmental Health and Safety Engineer. This role will focus on wastewater & stormwater operations, reporting and…
Added 7 mins ago
Cybersecurity Vulnerability Engineer
CACI, INC.-FEDERAL
Fort Bragg, NC
Job Title: Cybersecurity Vulnerability Engineer
Added 8 mins ago
Senior Full Stack Java Developer
Charles Schwab
Southlake, TX
…implementation, refactoring, unit testing, code reviews, scripting/automation, troubleshooting, and documentation - while applying strong engineering judgment, validation, and prompt…
Added 8 mins ago
Principal Engineer - Global MSAT, Site based, Redmond, WA
Just - Evotec Biologics, Inc.
Seattle, WA
We’re looking for a passionate and curious Principal Process Engineer to join our team. If you’re excited by new challenges, solving complex problems, and learning every step of the way,…
Added 8 mins ago
Sr. Cloud Engineer
Charles Schwab
Southlake, TX
In this hands-on role, you’ll design, engineer, and support cloud architecture across hybrid environments, applying strong problem solving and decision making to reduce risk, strengthen…
Added 9 mins ago
AI Analyst
Global Medical Response, Inc.
Lewisville, TX
We are seeking a skilled and motivated AI Engineer to design, build, test, and deploy AI and machine learning solutions that address real business problems. This role is a hands-on…
Added 10 mins ago
A
Electrical Controls Design Engineer
Actalent
Arlington, TX
- $40 to $50 USD / hour
We're seeking an Electrical Controls Design Engineer to support industrial automation projects from concept through startup. This role combines electrical design, control panel design, PLC…
Added 10 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 10 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 10 mins ago
Sr. Low Latency Enterprise Solutions Architect - VP
Citigroup
Irving, TX
…and hybrid cloud environments, integrating orchestration and automation to rapidly deliver infrastructure…
Added 10 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 10 mins ago
Application Platform Cloud Solutions Engineer Vice President
Citigroup
Irving, TX
The Application Platform Cloud Solutions Engineer is a senior, independent leader responsible for engineering and defining the target state technical architecture for critical domains…

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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