Jobs in the United States

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Added 5 mins ago
System Engineer SME
ARMA Global Corporation
United States
Advance how our customers operate while you advance your career. Join GDIT as a Systems Sr Engineer SR Principal and build an impactful career in enterprise IT, collaborating with people…
Added 5 mins ago
AC
Software Delivery Platforms Senior Engineer
Arrowstreet Capital, Limited Partnership
United States
- $115,000 to $325,000 USD / year
Architect, deploy, administer, secure, upgrade, and optimize enterprise GitLab and JFrog Artifactory environments.
Added 9 mins ago
Product Engineer, Freight Tech
Ally Logistics
Grand Rapids, MI
Our Product Solutions team is looking for a Product Engineer to drive internal product outcomes across the business. This role sits at the intersection of business strategy and technical…
Added 10 mins ago
Senior Presales Systems Engineer - HPE Networking
Hewlett Packard Enterprise
San Diego, CA
We are seeking a Senior Presales Systems Engineer with deep expertise in networking, security, cloud architecture, and automation to support enterprise and federal customers across complex…
Added 14 mins ago
Software Architect
Procore Technologies, Inc.
TX
We're looking for a Solution Architect/Senior Principal Software Engineer to join Procore's Mobile Engineering organization.
Added 21 mins ago
Senior Verification Engineer - CPU
NVIDIA USA
CA · TX
We are now looking for a Senior Verification Engineer!
Added 22 mins ago
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Principal Core Infrastructure Engineer
Oracle
Nashville, TN
- $114,600 to $234,600 USD / year
–Lead the development and implementation, and begin to architect, components of scalable distributed systems that support horizontal and vertical scaling to meet system demands, including…
Added 24 mins ago
Staff Security Engineer - Calix Cloud
Calix North America
Remote, United States
We’re looking for a Staff Security Engineer to define and strengthen the trust architecture connecting our devices, customers, and cloud platform. In this highly influential, hands-on role,…
Added 25 mins ago
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Field Engineer II
Jobot
Remote, United States
- $120,000 to $180,000 USD / year
We are seeking Field Engineer I and II professionals to support the execution of modular construction projects. This is a fully traveling, 100% onsite position supporting a Field Project…
Added 25 mins ago
Presales Solution Engineer - Edge AI
HP
All Cities, CO · All Cities, IL
The Presales Solution Engineer – Edge AI is a customer-facing technical leader responsible for transforming Edge AI opportunities into measurable business outcomes and production-ready…
Added 32 mins ago
Staff Software Engineer - IAM
General Motors
Des Moines, IA
We’re looking for a Security Software Engineer to join the Security Products Engineering team and drive the design and implementation of security-focused software and services across GM.…
Added 35 mins ago
Senior Software Engineer
Equifax, Inc
GA
…are a forward-thinking, committed, and enthusiastic software engineer who is passionate about…
Added 35 mins ago
Senior AI Engineer
Provectus
Brooklyn, NY · Manhattan, NY · NY · NJ · San Francisco Bay Area, CA
…in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Co-Founder &…
Added 37 mins ago
Cloud & Data Center Engineer
Dorman Products
Colmar, PA
The Cloud & Data Center Engineer is a hands-on infrastructure role that supports the day-to-day operation, reliability, and improvement of Dorman's on-premises data center and cloud…
Added 37 mins ago
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Staff Android Software Engineer
EchoStar
Englewood, CO
- $127,050 to $181,500 USD / year
Architect and directly contribute to critical Android applications while designing robust security features for video entertainment platforms
Added 44 mins ago
PI
Senior Director, Enterprise Intelligence
PTC Inc
Boston, MA
- $225,000 to $315,000 USD / year
Architect AI-ready platforms, including RAG, agentic workflows, event-driven integration and secure APIs, with Enterprise Architecture.
Added 44 mins ago
IG
Lead Azure Cloud Engineer
Insight Global
Remote, United States
- From $57 USD / hour
-Azure Solutions Architect Expert or Azure DevOps Engineer Expert certification
Added 48 mins ago
Sr. ASIC Design Verification Engineer
Cisco
San Jose, CA
Architect, develop, and maintain block, cluster, and top-level Design Verification (DV) environment infrastructure
Added 48 mins ago
Solutions Engineer, Federal
Cisco
Fulton, MD
In this role, you will partner directly with Federal Account Executives and agency engineering leadership to architect resilient, scalable, and automated technical architectures that…
Added 48 mins ago
Data Engineer
United Airlines
Chicago, IL
The objective of Data Engineer is to architect, implement and maintain robust data infrastructure that supports the end-to-end pipelines. This includes designing data ingestion processes,…
Added 49 mins ago
Applied AI Architect, Public Sector (State & Local Government)
Anthropic
San Francisco, CA · New York City, NY · Washington, DC
5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager
Added 50 mins ago
Sr Advisory Solution Consultant - Identity Security, AMER (Armis/Veza)
ServiceNow
Remote, United States
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 54 mins ago
Architectural Project Manager
Aston Carter
San Francisco, CA
Licensed architect with experience applying California building codes; familiarity with Oregon and/or Washington state codes is desirable.
Added 56 mins ago
(Contractor) Senior Identity Solutions Engineer
Sparq Holdings, Inc.
Remote, United States
Engineer, administer, and support Microsoft identity environments, including on-premises Active Directory, Microsoft Entra ID, and Active Directory Federation Services (ADFS), ensuring…
Added 58 mins ago
Sr Forward Deployed Engineer (FDE), AWS Forward Deployed Engineering, US Government
Amazon Web Services, Inc.
Jessup, MD · Arlington, VA · Seattle, WA · Denver, CO · Herndon, VA
A Forward Deployed Engineer (FDE) embeds directly inside a strategic enterprise customer to design, build, deploy, and run AI-powered production systems alongside the customer's engineering…

Tyler Technologies

ML/AI Data and Cloud Engineer

United States

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Job details

Posting language: English

Original job description

Description

We are seeking an ML/AI Data & Cloud Engineer to design, build, and operate the cloud-native components that deliver large-scale, data-intensive AI capabilities. This role focuses on building scalable data platforms, distributed processing systems, and model-serving infrastructure that enable end-to-end machine learning workflows in production. You will work closely with data scientists and product teams to transform advanced models into reliable, high-performance services. The ideal candidate combines strong engineering skills with a solid grounding in quantitative methods, and is comfortable leveraging modern AI-assisted development tools to accelerate research, prototyping, and delivery.

Responsibilities

Design and implement cloud-native data platforms that integrate structured and unstructured data into scalable data lakes or unified data systems
Build and maintain robust ingestion pipelines using API-driven, streaming, and batch processing workflows
Architect data processing systems for feature engineering, large-scale computation, and model training support
Develop and operate model-serving infrastructure enabling real-time and batch inference via APIs
Develop advanced modeling approaches combining statistical methods and machine learning (e.g., regression, gradient boosting, random forests, and ensemble/meta-learning techniques)
Implement model validation and monitoring frameworks addressing bias, drift, robustness, and performance
Tune cloud infrastructure for performance, reliability, and cost efficiency across compute, storage, and data transfer layers
Build and maintain MLOps pipelines for model deployment, versioning, monitoring, and automated retraining
Ensure platform reliability, fault tolerance, and data integrity across all stages of the data and model lifecycle

Qualifications

Bachelor’s degree in Computer Science, Data Engineering, Engineering, Applied Mathematics, or related field (or equivalent experience)
3+ years of experience in data engineering, cloud engineering, ML platform engineering, machine learning engineering, AI systems, quantitative modeling, or data-intensive platform development
Strong programming skills in Python and experience with backend, data engineering, or experience with modern ML frameworks and data tooling
Experience designing and operating cloud-native systems (AWS or equivalent)
Experience building and maintaining large-scale data pipelines and working with high-volume datasets
Experience developing APIs or microservices for production systems
Solid understanding of distributed systems, data processing, and system reliability concepts
Solid foundation in algorithms, data structures, and computational thinking

Preferred Qualifications

Familiarity with modern AI-assisted development tools and workflows (e.g., LLM-based coding assistants, agentic development environments, or similar tools)
Exposure to machine learning workflows and the infrastructure required to support training and inference at scale
Experience with cloud services (e.g., AWS: S3, EC2, Lambda, Glue, SageMaker, or equivalents)
Experience with containerization (Docker/Podman, ECS)
Experience with data lake architectures and multi-source data ingestion patterns
Familiarity with MLOps practices, including reproducibility, model versioning, and deployment automation
Working knowledge of statistics, econometrics, quantitative modeling, and optimization
Familiarity with cloud cost optimization strategies and performance tuning

What You’ll Work On

Scalable cloud data platforms integrating diverse, high-volume datasets
Foundational predictive models that adapt across markets rather than being rebuilt for each use case
A cloud-native platform supporting data ingestion, model training, inference, and scalable deployment
Intelligent systems for ranking, matching, scoring, and explanation of model outputs
Robust evaluation and monitoring frameworks for model performance and reliability
API-driven integration of AI capabilities into broader software ecosystems

Why Join Us? You’ll work on challenging, high-scale systems at the intersection of data engineering, cloud infrastructure, and machine learning. This role offers the opportunity to build foundational platforms that support advanced AI capabilities while shaping architecture, tooling, and best practices in a rapidly evolving space.

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