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Added 9 days ago
Manager AI Quality, Security & Assurance
Westinghouse Electric Company, LLC
Cranberry Township, NC
AI evaluation involves establishing methods and datasets. We will use these to evaluate GenAI responses and agent behavior, including grounding, robustness, tool use, human oversight, and…
Added 9 days ago
Senior Data & Applied Scientist - Ontologies & Semantics
SAP
Palo Alto, CA
Hands-on experience with modern GenAI systems RAG, embeddings, vector databases, semantic retrieval, and enterprise knowledge grounding.
Added 9 days 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 9 days 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 9 days ago
Senior Data Engineer
Hillwood
Dallas, TX
…excellence and teamwork. The company is a full-service real estate developer, investor and advisor focused on developing opportunities for investors, partners and communities around the…
Added 9 days ago
Software Engineer- Senior
Accenture Federal Services
Chantilly, VA
Application Development & Integration: UI, backend, and middleware engineering (TypeScript, React, Python, FastAPI, LanceDB, lance graph, PostgreSQL, Temporal.io, Docker, Kubernetes);…
Added 9 days ago
Embedded Signal Processing and ML Algorithms Engineer
Apple
San Diego, CA
Identify and champion GenAI tools and developer productivity solutions that can be adopted within the team
Added 9 days ago
Staff Software Engineer
HOME DEPOT MANAGEMENT COMPANY, LLC
United States
Technology Stack Required(Full Stack):Languages & Frameworks: Java 17+ · Spring Boot · Node.js · React.js · Python · Django · GraphQL · REST APIs · Playwright · CucumberData & Messaging:…
Added 9 days ago
Machine Learning Engineer
ADT
Boca Raton, FL
Develop modular, reusable, secure, and testable Python solutions for data preparation, feature engineering, model development, packaging, deployment, validation, monitoring, and automation.
Added 9 days ago
CA
Senior Automation Engineer | Technology Services
City and County of Denver
United States
- $86,634 to $120,000 USD / year
Strong proficiency with automation and scripting tools such as Ansible, PowerShell, and Python.
Added 9 days ago
Post Doc - AI/ML and Optimization
Janssen Research & Development, LLC Legal Entity
Cambridge, MA · Titusville, NJ
…candidate will apply machine learning (ML), generative AI (GenAI), and optimization techniques to develop computational solutions that support and enhance global clinical operations,…
Added 9 days ago
Staff Software Engineer
The Home Depot
Atlanta, GA
Technology Stack Required(Full Stack):Languages & Frameworks: Java 17+ · Spring Boot · Node.js · React.js · Python · Django · GraphQL · REST APIs · Playwright · CucumberData & Messaging:…
Added 9 days ago
Principal Applied Scientist, Frontier AI Assets , Frontier AI Assets
Amazon.com Services LLC
Bellevue, WA · Sunnyvale, CA
…and evaluation assets that advance frontier Generative AI (GenAI) with Large Language Models…
Added 9 days ago
Senior Consultant / Manager Analytics Consulting - Real Estate
Tiger Analytics Inc.
Remote, United States
Rapidly prototype solutions and functional proof-of-concepts using GenAI, Agentic AI, and low-code/no-code tools.
Added 9 days ago
Principal Data Scientist – DDSAI GD
J&J Family of Companies
Titusville, NJ
…use-case outcomes across connected stakeholder groups using ML, GenAI, optimization, and…
Added 9 days ago
AI Engineer (Vertex AI)
Capgemini
New York, NY, NY
Build, test and deploy production GenAI solutions on Google Cloud for insurance clients: document summarization, intelligent intake, underwriting and claims assistants, and agentic…
Added 9 days ago
Software Development Engineer Intern, Machine Learning/Automated Reasoning- Summer 2027
Amazon.com Services LLC
Boston, MA · Austin, TX · Sunnyvale, CA · Seattle, WA · Arlington, VA · Bellevue, WA · New York, NY · Irvine, CA · San Diego, CA
Use GenAI and AI-powered tools to enhance development productivity, and critically validate, verify, and integrate AI-generated code, exercising sound judgement about when to trust AI…
Added 9 days ago
Cloud Administrator -- AWS and Azure Cloud
CACI International
Chantilly, VA
Proficiency in PowerShell, Python, Bash, or a comparable scripting language
Added 9 days ago
Gen AI Senior Engineer
NTT Data Americas, Inc.
Charlotte, NC
The Senior Engineer (Generative AI) is responsible for designing, developing, and deploying scalable Generative AI (GenAI) solutions within an enterprise environment, with a focus area for…
Added 9 days ago
Forward Deployed Engineer III, Generative AI, Google Cloud
Google
Pittsburgh, PA
5 years of experience with software development using Python or similar coding languages.
Added 9 days ago
Forward Deployed Engineer IV, Generative AI, Google Cloud
Google
Pittsburgh, PA
8 years of experience with software development using Python or similar coding languages.
Added 9 days ago
AI Data Engineer I, Professional Services, Google Cloud
Google
Atlanta, GA
Experience with database administration techniques or data engineering, as well as writing software in Java, Python, or SQL.
Added 9 days ago
AI Engineer (AI Data Privacy, Security & Governance)
Robert Half
San Ramon, CA
Apply data classification, retention, and residency policies across GenAI data flows.
Added 9 days ago
Staff Software Engineer, YouTube Shorts Creation Data, Metrics and Compute
Google
Mountain View, CA
Experience designing and operating production-grade data warehouses, distributed data pipelines, and telemetry schemas using SQL, Python, C++, or Go, and Protocol Buffers.
Added 9 days ago
DE
Software Engineer II (GenAI)
Disney Entertainment
Seattle, WA
- $119,200 to $167,400 USD / year
The role focuses on hands on GenAI application engineering, including Python development, retrieval and grounding workflows, prompt design, conversational AI support, and backend service…

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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