Jobs in the United States

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Added just now
Engineer - HPC Platform
Xenon7
Remote, United States
Be Proactive - You will have opportunities to leverage agile ways of working with a willingness to become an expert in deploying HPC solutions.
Added just now
Engineer - HPC Platform
Xenon7
Remote, United States
Be Proactive - You will have opportunities to leverage agile ways of working with a willingness to become an expert in deploying HPC solutions.
Added just now
Engineer - HPC Platform
Xenon7
Remote, United States
Be Proactive - You will have opportunities to leverage agile ways of working with a willingness to become an expert in deploying HPC solutions.
Added just now
AI and Data Consultant Team Lead
Coretek Services
Remote, United States
Coretek is seeking an AI & Data Consultant, Team Lead to deliver client solutions and provide day-to-day leadership for consultants and contract delivery resources. You will remain hands-on…
Added just now
Consultant -- Azure, Data & AI
Coretek Services
Remote, United States
Coretek is seeking an Azure Data & AI Consultant to design, implement, and optimize modern data and AI solutions on the Microsoft Azure platform. In this role, you will partner closely with…
Added 5 mins ago
Forward Deployed AI Engineer
SAP
New York, NY
…will own technical workstreams, design production-grade AI solutions, and collaborate with architects to deliver scalable, secure, enterprise-ready AI applications. This role is designed…
Added 7 mins ago
Transformational Automation Strategist (Mid - Senior Level)
Jack Henry & Associates
Allen, TX
…secure, and human centered experiences. We deliver cutting-edge solutions that are paving the way for the next generation of digital banking and payments, but our true impact begins with…
Added 7 mins ago
Back End Engineer
Robert Half
Bryan, TX
…Requirements • Strong backend development experience using Python, TypeScript, or Go, with the ability to independently design and build production-ready…
Added 8 mins ago
U
Senior Manager AI/ML Engineering (Flex)
UPS
ATLANTA, GA
- From $128,172 USD / year
Hands-on experience building solutions using Generative AI, LLMs, agentic AI, RAG, and tool-calling architectures, with strong Python skills and experience in prompt engineering,…
Added 8 mins ago
Sr Operational Ex Analyst
Honeywell Technologies
El Paso, TX
Build governed datasets for AI and reporting solutions.
Added 8 mins ago
Java Backend & Microservices Applications Development Manager, Vice President
Citigroup
Irving, TX
…mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the…
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
…mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the…
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
…supporting enterprise-grade applications using Java/Spring Boot, Python, cloud platforms, microservices, and modern DevOps practices. The role requires end-to-end ownership, technical…
Added 8 mins ago
Applications Development Tech Lead Analyst
Citigroup
Irving, TX
…interpretive thinking to define issues and develop innovative solutions. Evaluate or recommend software for testing or bug tracking. Serve as advisor or coach to mid-level developers and…
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
Software Engineer II - AI/ML
JPMorgan Chase
Plano, TX
…contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business…
Added 8 mins ago
C
Lead Java Full Stack Developer
Cognizant
Plano, TX
- $75,000 to $123,500 USD / year
As a Lead Java Full Stack Developer, you will make an impact by designing, building, and scaling API-first, cloud-native applications and integrations using modern Java, AWS, React, and…
Added 8 mins ago
Sr Associate Engineer/ Engineer, IT Data
American Airlines
Fort Worth, TX
Work closely with source data application teams and product owners to design, implement and support analytics solutions that provide insights to make better decisions
Added 9 mins ago
Data Engineer
Deloitte
Dallas, TX
Design, develop, and maintain production-ready software solutions in an agile environment.
Added 10 mins ago
Sr. Application Security Engineer
American Express Global Business Travel
Austin, TX
…application development into application security, bringing a developer's mindset to security and operations, and will mentor others while helping shape how the organization builds and…
Added 10 mins ago
Software Quality Engineer, Secure Firewall
Cisco
Austin, TX
…quality, reliability, and scalability of our Secure Firewall solutions, serving as a vital line of defense for our enterprise…
Added 10 mins ago
O
[Remote] Principal Software Developer - Oracle Health
Oracle
Austin, TX
- $114,600 to $234,600 USD / year
The OHDS team is looking for a Principal Software Developer to drive the data platform forward. In this role you will collaborate with software architects on system design, serve as the…
Added 10 mins ago
Marketing Analyst
3M
Austin, TX
Supports the development of automation and AI-enabled solutions for critical channel partner and business use cases. Works cross-functionally with Marketing, eCommerce, IT, product content,…
Added 10 mins ago
Global Response Operations, Protect Analyst
Meta
Austin, TX
Influence and support innovation of technology, as well as adoption of technical solutions, that improves our detection capabilities (efficiency, speed, and reduction on language dependence)

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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