Jobs in the United States

25+ jobs

Save this search

Added 1 min ago
Staff Data Engineer
sunday
Remote, United States
We’re looking for a Staff Data Software Engineer to help us shape the future of data at sunday.
Added 9 mins ago
Senior Platform Engineer - NBA
Humana
Annapolis, MD
The Senior Platform Engineer keeps the entire NBA platform healthy, reliable, and maintainable for the long term. You develop a working understanding of every layer of the technology stack…
Added 9 mins ago
Senior Full Stack Engineer - NBA
Humana
Annapolis, MD
The Senior Full Stack Engineer builds and evolves the NBA platform's Action Library and Command Center experience, the operational system used by business and program teams to create,…
Added 9 mins ago
Senior Decision Intelligence Engineer
Humana
Annapolis, MD
The Senior Machine Learning Engineer, Decision Intelligence is a hands-on individual contributor responsible for building, deploying, and operating ML and decisioning pipelines for the NBA…
Added 10 mins ago
Associate VP Network Engineer
Deloitte
Baltimore, MD
…that improve agility, resilience, and security while reducing operational cost through automation. Our practitioners work across enterprise campus, data center, and cloud-interconnected…
Added 10 mins ago
AI Engineer II
Deloitte
Baltimore, MD
…significant impact on our clients' success. We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that power Human Capital AI products and analytics.…
Added 10 mins ago
Lead Integration Engineer II
Deloitte
Baltimore, MD
US-E - Consulting - Lead Integration Engineer II - AI & Engineering/EaaS
Added 10 mins ago
AI Engineer III
Deloitte
Baltimore, MD
…significant impact on our clients' success. We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that power Human Capital AI products and analytics.…
Added 10 mins ago
EG
Senior Data Engineer
Eliassen Group
Annapolis, MD
- $101,000 to $161,800 USD / year
Our client seeks a Senior Data Engineer to own the governed transformation layer end-to-end. The role will design and build Snowflake transformation layers, migrate legacy SQL views and…
Added 16 mins ago
Senior IT Cloud Engineer – AI Driven Operations & Platform Engineering
Prologis Management LLC
Denver, CO
They will introduce standards, reusable components, and measurement practices that reduce manual requests and improve operational outcomes across the broader technology estate.
Added 22 mins ago
Principal Engineer I - System Design / Architecture Engineering
TMN Toyota Motor North America Company
Liberty, NC
…Department is seeking a highly motivated Infrastructure / Platform Engineer to support the implementation, reliability, and operational excellence of infrastructure and platform…
Added 28 mins ago
Staff Data Platform Engineer - Virtual
Alight Solutions LLC
United States
The next challenge is scale: evolving a platform that already supports hundreds of data integrations to accommodate tens of thousands, without proportionally increasing engineering and…
Added 28 mins ago
Staff Backend Engineer - Virtual
Alight Solutions LLC
United States
Designing and building application services and APIs connecting Worklife with the Data Engine, including clear interface contracts, error handling, observability and operational ownership.
Added 28 mins ago
Senior Full Stack Engineer
Alight Solutions LLC
United States
We’re seeking a Lead Full Stack Engineer to help bring this vision to life, taking product concepts from prototypes through architecture, implementation, and production within Alight’s…
Added 29 mins ago
EG
Senior Data Engineer
Eliassen Group
Des Moines, IA
- $101,000 to $161,800 USD / year
Our client seeks a Senior Data Engineer to own the governed transformation layer end-to-end. The role will design and build Snowflake transformation layers, migrate legacy SQL views and…
Added 32 mins ago
Director Software Engineer for BRCC Inbound Communication (Hybrid - Newark, NJ or NYC)
Broadridge Investor Comm Solutions Inc
Newark, NJ · Edgewood, NY
Improved processing speed, extraction accuracy, automation rates, data quality, and operational efficiency.
Added 47 mins ago
AI Engineer
ServiceTitan, Inc.
Remote, United States
…warranties, compliance obligations, and customer history. That operational context is our advantage. We are building Agent OS to turn that context into safe, observable, production-grade…
Added 47 mins ago
AI Engineer
ServiceTitan, Inc.
Remote, United States
That operational context is our advantage. We are building Agent OS to turn that context into safe, observable, production-grade agent work.
Added 49 mins ago
Staff DevOps Engineer (Platform)
1upHealth
Remote, United States
At 1upHealth, we’re on a mission to unlock health data and empower the future of healthcare through modern, cloud-native data infrastructure and interoperability. We build a platform that…
Added 1 hour ago
UG
Senior Software Engineer
UnitedHealth Group
Minneapolis, MN
- $91,700 to $163,700 USD / year
As a Senior Software Engineer, you will provide technical leadership for ECDH development supporting URQP, a critical clinical quality initiative. You will lead and mentor a team of…
Added 1 hour ago
Full-Stack Software Engineer
KBR Wyle Services, LLC
Beavercreek Township, OH
Join the Iron Stallion team to build secure, data-intensive software that helps space operators turn information from multiple sources into timely operational insight. This engineer will…
Added 1 hour ago
Software Engineer III - Python/AI/MLOps
JPMC page
Wilmington, DE
Implement monitoring, alerting, and operational controls using tools such as Amazon CloudWatch and Datadog to improve platform observability
Added 1 hour ago
Senior Solutions Architect - Federal Civilian
Elastic
Arlington, VA
Elastic, the Search AI Company, enables government agencies and enterprises to turn massive, disparate data into real-time operational intelligence at scale. The Elastic Search AI Platform…
Added 1 hour ago
Senior Solutions Architect - Federal Civilian
Elastic
MD
Elastic, the Search AI Company, enables government agencies and enterprises to turn massive, disparate data into real-time operational intelligence at scale. The Elastic Search AI Platform…
Added 1 hour ago
Senior Solutions Architect - Federal Civilian
Elastic
Washington, DC
Elastic, the Search AI Company, enables government agencies and enterprises to turn massive, disparate data into real-time operational intelligence at scale. The Elastic Search AI Platform…

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