Jobs in the United States

25+ jobs

Save this search

Added just now
AI ML Engineer 6564206
Accenture Flex LLC Company
Dallas, TX
Design, build, and deploy GenAI applications, including RAG pipelines with embeddings, vector search (e.g., FAISS), and grounded, citation-backed responses
Added 10 mins ago
Security Engineer, Security for Employee and Legal Systems (SEALS)
Amazon.com Services LLC
Seattle, WA
…that closes a gap the team identified, or pair with a senior engineer to threat model a service that uses GenAI. You will ask a lot of questions, and that is expected. The team values…
Added 10 mins ago
Software Engineer II - AI/ML, Neuron Inference, Neuron Inference
Annapurna Labs (U.S.) Inc.
Cupertino, CA
…software development kit used to accelerate deep learning and GenAI workloads on AWS Trainium machine learning…
Added 15 mins ago
Sr Software Engineer
Cengage Learning Inc.
OH
…with product and design teams in your role as senior software engineer. Together you will focus on improving customer outcomes through frequent stakeholder engagements and data-driven…
Added 1 hour ago
Senior AI/AML Engineer, Vice President
Citibank, N.A.
United States
Citi Wealth is seeking a highly experienced Senior AI/AML Engineering hands on senior engineer of enterprise-grade GenAI and agent-based solutions. This role is responsible for designing,…
Added 1 hour ago
Senior AI/AML Engineer, Vice President
Citibank, N.A.
United States
Citi Wealth is seeking a highly experienced Senior AI/AML Engineering hands on senior engineer of enterprise-grade GenAI and agent-based solutions. This role is responsible for designing,…
Added 1 hour ago
Senior Data Engineer
Hillwood
Dallas, TX
Hillwood is seeking a Senior Data Engineer to join its Corporate IT team in Dallas, Texas. This role will play a key part in the development and ongoing evolution of Hillwood's…
Added 1 hour ago
Senior Full Stack Java Developer
Charles Schwab
Southlake, TX
…plans. A meaningful part of your work will involve leveraging GenAI coding assistants (such as GitHub Copilot or Claude Code) across the SDLC - implementation, refactoring, unit testing,…
Added 2 hours ago
ND
Enablement Engineer - Onsite
NTT Data Americas, Inc.
Irving, TX
- $65 to $75 USD / hour
NTT DATA's Client is currently seeking an AWS Data & AI Platform Engineer to join their team and work ONSITE everday in any of these Hubs (Chicago, Charlotte, Atlanta, Cincinnati,…
Added 2 hours ago
Software Engineer- Senior
Accenture Federal Services
Chantilly, VA
We are seeking a Senior Software Engineer, who will be responsible for developing and maintaining secure, scalable, and high-performing software applications while supporting enterprise…
Added 2 hours ago
Embedded Signal Processing and ML Algorithms Engineer
Apple
San Diego, CA
…products. We are looking for a strong machine learning & DSP engineer with a passion for bridging algorithm development with embedded system design and software integration and leveraging…
Added 2 hours ago
Data Engineer-Nordic OMOP
Carilion Services Inc
Remote, United States
The Data Engineer designs, deploys and supports data acquisition and data integration solutions from source systems to the data warehouse and data marts for business intelligence,…
Added 2 hours ago
PO
Generative AI Trainer
Phoenix Oversight Group LLC
Remote, United States
- $60,000 to $80,000 USD / year
…day-to-day work. Reporting to the Managing Director, Chief AI Engineer, this individual contributor designs and facilitates practical workshops, coaches learners through realistic business…
Added 2 hours ago
Engineering Manager
Phoenix Oversight Group LLC
Remote, United States
…direct reports. Reporting to the Managing Director, Chief AI Engineer, this role owns the human side of engineering: regular coaching, performance, hiring and onboarding, career…
Added 2 hours ago
AWS DevSecOps Engineer
Phoenix Oversight Group LLC
Remote, United States
The AWS DevSecOps Engineer builds, secures, and operates the AWS environments and automated delivery pipelines that PhoenixTeam uses for internal and client applications. This is a hands-on…
Added 2 hours ago
Staff Software Engineer
HOME DEPOT MANAGEMENT COMPANY, LLC
United States
The Staff Software Engineer is responsible for leading a team of engineers building and designing a product that our customers and associates love. As a Staff Software Engineer, you will be…
Added 2 hours ago
Senior Site Reliability Engineer
US AMR-Jones Lang LaSalle Americas, Inc.
Remote, United States
As a Senior Site Reliability Engineer on JLL’s Technical Engineering team for corporate functions, you will serve as a trusted technical authority for the PeopleSoft FSCM 9.2 environment…
Added 2 hours ago
Machine Learning Engineer
ADT
Boca Raton, FL
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…
Added 2 hours ago
CA
Senior Automation Engineer | Technology Services
City and County of Denver
United States
- $86,634 to $120,000 USD / year
…reliability, innovation, access, and security. As a Senior Automation Engineer, you will serve as a technical expert responsible for designing, implementing, and supporting automation…
Added 3 hours ago
Machine Learning Engineer, Applied AI Intern (Summer 2027)
Brain Co.
San Francisco, CA
As an AI/ML Engineer Intern, you’ll work alongside experienced engineers and researchers to help design, build, and deploy machine learning systems that solve high-impact problems in…
Added 3 hours ago
Staff Software Engineer
The Home Depot
Atlanta, GA
The Staff Software Engineer is responsible for leading a team of engineers building and designing a product that our customers and associates love. As a Staff Software Engineer, you will be…
Added 3 hours ago
Solution Architect / Cloud Native Lead- Lead Software Engineer 1
Capgemini
Atlanta, GA, GA · Irving, TX, TX · Nashville, TN, TN · Chicago, ND · Houston, TX, TX · Bridgewater, NJ, NJ · San Francisco, CA, CA
AI and data: GenAI and agentic AI strategy, data governance and migration
Added 3 hours ago
Forward Deployed Engineer
Capgemini
New York, NY, NY
Forward Deployed Engineer specializing in AI solution delivery for the insurance industry, responsible for leading engagements from discovery through production deployment. Combines strong…
Added 3 hours ago
Senior Lead Software Engineer
JPMorgan Chase
Jersey City, NJ
As a Senior Lead Software Engineer at JPMorganChase within the Commercial and Investment Bank Payments Technology team, you are an integral part of an agile team that works to enhance,…
Added 4 hours ago
WD
Staff Software Engineer
Walt Disney Pictures
Glendale, CA
- $158,100 to $211,900 USD / year
At Disney, storytelling is powered by technology. As a Staff Software Engineer, you will build the platforms that move our content from production to audience. Join us and contribute to the…

ADT

Machine Learning Engineer

Boca Raton, FL, United States

Apply About employer

Applications open in a new tab.

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

Apply About employer

Report this job