Jobs in the United States

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Added 8 days ago
CFD and Multiphysics Modeling Engineer
EKC Advanced Electronics USA, LLC
Wimington, DE
Added 8 days ago
Senior Engineer/Scientist
DuPont Electronic Materials CMP, LLC
Newark, DE
…process results. Experience with coding, data analytics, and automation is valuable when it improves experimental execution, data quality, workflow efficiency, or technical…
Added 8 days ago
EDA Tools & Design Automation Engineer
Tenstorrent
Santa Clara, CA
Tenstorrent is seeking an EDA Tools & Design Automation Engineer to join the Mixed Signal Design Automation team. In this role, you will own the deployment, configuration, reliability, and…
Added 8 days ago
Senior Software Engineer
C.H. Robinson Shared Services, Inc.
Remote, United States
…you will collaborate with our data science teams to costing automation and platforms to more efficiently find capacity/trucks to place shipments on. This role will focus on iterating and…
Added 8 days ago
Senior Detection Engineer
BCMC
Arlington, VA
…into reliable behavioral analytics, investigative queries, and automation. This work moves the team beyond individual hunts toward faster, repeatable, and scalable operations. Working…
Added 8 days ago
CAD Administrator
Pacific Fusion
San Leandro, CA · Los Lunas, NM
Experience with CAD automation, scripting (e.g., Creo Toolkit, Python, VB.net), or macro development to streamline repetitive design tasks
Added 8 days ago
Senior Manager, GTM Engineering
Iru
United States
…identity & access, endpoint security & management, and compliance automation - collapsing the stack and giving IT & security time and control…
Added 8 days ago
Developer/Programmer Analyst 1803
Sistema Technologies Inc.
Austin, TX
…Epidemiology and Surveillance Branch (BDESB), is seeking a temporary Developer/Programmer Analyst to provide a needs assessment, programming automation, and system integration for…
Added 8 days ago
Manager, Software Engineering (Sales Technology)
Remote, United States
Added 8 days ago
Senior Cybersecurity Engineer I -Secret Clearance
Rocket Lab Corporation
Long Beach, CA
Familiarity with scripting and automation (e.g., Python, PowerShell)
Added 8 days ago
Senior Cybersecurity Engineer II -Secret Clearance
Rocket Lab Corporation
Long Beach, CA
Familiarity with scripting and automation (e.g., Python, PowerShell)
Added 8 days ago
Cybersecurity Engineer II - Secret Clearance
Rocket Lab Corporation
Long Beach, CA
Familiarity with scripting and automation (e.g., Python, PowerShell)
Added 8 days ago
Senior Systems Engineer
Omitron, Inc.
Colorado Springs, CO
Develop automation for configuration, backup, compliance checks, and deployment using tools such as Ansible and Python.
Added 8 days ago
AI Engineer
Radix Trading Experienced Job Board
Chicago, IL · NY
Identify workflow opportunities for developers and researchers to introduce AI-first systems and automation
Added 8 days ago
O
Principal Software Engineer, AI Core Infrastructure at OCI
Oracle
Nashville, TN
- $114,600 to $234,600 USD / year
…operational visibility, GPU infrastructure delivery, and AI-assisted automation. We partner with operations, infrastructure, and engineering teams to reduce repetitive work and improve the…
Added 8 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 8 days ago
Principal / Sr. Principal Data Scientist – Machine Learning and Predictive Analytics
Northrop Grumman
Melbourne, FL
Champion software engineering best practices within the data domain, including comprehensive unit/integration testing, CI/CD automation (Git, Docker), and robust documentation.
Added 8 days ago
AT
Software Engineer II
Akamai Technologies, Inc.
Tallahassee, FL
- $95,000 to $171,000 USD / year
Are you a software developer who loves solving complex problems?
Added 8 days ago
Senior Business Analyst , Vice President
Citigroup
Tampa, FL
…key initiatives within our four-pillar intelligent servicing automation program. In this role, you will drive the end-to-end transformation of back-end servicing lifecycles, integrating…
Added 8 days ago
BA
Systems Engineer
Butler America
Orlando, FL
- $70 to $85 USD / hour
Added 8 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 8 days ago
Firmware Development Engineer
Kairos Power
Alameda, CA
Preferred exposure through coursework or projects to VHDL/Verilog and FPGA tools, Python test automation, laboratory instruments, or interfaces such as SPI, I2C, and UART.
Added 8 days ago
Senior Mechatronics Engineer
Auris Health Inc. Legal Entity
Santa Clara, CA · Milpitas, CA
…sensing, motion, robotics, machine vision, instrumentation, and automation to deliver safe, reliable, maintainable, and scalable equipment…
Added 8 days ago
Senior Clinical Data Programmer (Python)
eResearch Technology Limited
Remote, United States
Design, develop, and maintain Python applications, reusable packages, and automation frameworks supporting clinical data processing and transformation.
Added 8 days ago
Senior/Staff DevOps Engineer, Federal
Red Cell Partners
Remote, United States
Create reusable infrastructure-as-code modules, cluster bootstrap automation, and CI/CD or GitOps workflows using Terraform, Pulumi, Argo CD, or comparable tools.

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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