Jobs in the United States

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Added 2 mins ago
Java Server Engineer - ASE Products
Apple
Cupertino, CA
Added 2 mins ago
Senior Staff/Principal Engineer, Foundation Model Compute Infra
Apple
Cupertino, CA · Santa Clara, CA · Seattle, WA
As a Senior Staff/Principal Engineer on the Foundation Model Compute Infrastructure team, you will architect, build, and operate large-scale infrastructure powering foundation model…
Added 2 mins ago
Distinguished Platform Engineer
ServiceNow
Santa Clara, CA
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 4 mins ago
Vice President ( Lead Securities Python Quantitative Developer )
B10 Wells Fargo Bank, N. A.
CHARLOTTE, NC
Wells Fargo is seeking a Quantitative Software Engineer, Vice President (Lead Securities Quantitative Analytics Specialist). A successful applicant will be a Python quantitative developer…
Added 6 mins ago
Senior AI/ML Engineer
International Motors, LLC
Lisle, IL
The Senior AI/ML Engineer designs, develops, deploys, and operates production-grade artificial intelligence and machine learning solutions that deliver measurable business outcomes. This…
Added 8 mins ago
Security Engineer
Chainguard
Remote, United States
We're looking for a Security Engineer to support fellow engineers across three critical functional areas: Identity and Access Management (IAM), AI, and Cloud. This is an earlier-career role…
Added 8 mins ago
QA Engineer 3
Onto Innovation Inc-US
United States
We are looking for an experienced and skilled Software Test Engineer to join our team. The ideal candidate will have a strong background in verification and validation of complex software.…
Added 15 mins ago
Software Engineer Intern (SDS e-Commerce Team)
Staples Canada
Framingham, MA
Position #2: Title: Software Engineer for UI (Frontend)
Added 26 mins ago
S
Staff Machine Learning Engineer - Team Lead (Active Secret Clearance)
Striveworks
Remote, United States
- $210,000 to $260,000 USD / year
As a Staff Machine Learning Engineer, you will be both a core contributor and a customer-facing technical leader. You’ll initiate the design, build, and delivery of systems - from data…
Added 32 mins ago
AI Software Engineer (TS/SCI)
Vantor Services Inc.
Herndon, VA · Westminster, CO
We are seeking a Senior AI/ML Software Engineer to integrate secure chatbot and AI assistant capabilities into existing geospatial intelligence, analytics, visualization, and…
Added 37 mins ago
Senior Data Engineer (US)
Code and Theory
NY
As a Senior Data Engineer on our team, you’ll bring deep expertise and strong opinions to complex problems. You’ll lead technical workstreams, mentor others, and help define what great…
Added 44 mins ago
Software Engineer III - UI / Experience Services Developer
JPMC page
Plano, TX
As a Software Engineer III at JPMorganChase within Consumer & Community Banking (CCB), J.P. Morgan Wealth Management (JPMWM), you serve as a seasoned member of an agile team to design and…
Added 45 mins ago
C+
Systems Engineer – AI Requirements
CTRL + LLC
Annapolis Junction, MD
- $77.31 to $85.36 USD / hour
Added 52 mins ago
ML/AI Data and Cloud Engineer
Tyler Technologies
United States
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.
Added 54 mins ago
AB
Senior Network Engineer
Absolute Business Solutions Corp
Washington, DC
- $90,000 to $158,000 USD / year
ABSC has an exciting opening for a Senior Network Engineer supporting the Air Force National Capital Region Information Technology Services-2 (AFNCR ITS-2) program at Joint Base…
Added 55 mins ago
Principal Engineer - Data Engineering
Wells Fargo
IRVING, TX
Wells Fargo's Shared Service Operations Technology (SSOT) organization is seeking a Principal Engineer - Data Engineering to drive the architecture, engineering strategy, and modernization…
Added 55 mins ago
Sr. Manager, AI Engineer (Gen AI Platform Services: Agentic AI, Guardrails, Evaluation)
Capital One
NY · San Francisco, CA · McLean, VA · Cambridge, MA · San Jose, CA
Added 55 mins ago
Databricks Solution Architect
CGI Technologies and Solutions, Inc.
Dallas, TX
. Databricks certification (Databricks Certified Associate Data Engineer or Databricks Certified Professional Data Engineer).
Added 55 mins ago
Lead Databricks Application Architect/Full Stack Developer
CGI Technologies and Solutions, Inc.
Dallas, TX
. Databricks Certified Data Engineer Professional certification.
Added 56 mins ago
AVP Senior AI ML Engineer
Bank OZK
Dallas, TX
Added 57 mins ago
Sr Assoc-Tech Ops Engineering
American Express
Phoenix, AZ
Serve as a hands-on engineer with experience in supporting complex enterprise applications, platforms, and operational tooling across Distributed environments. This role involves weekend…
Added 1 hour ago
Blackstone Data Science Product Engineering, Vice President
Blackstone Administrative Services Partnership
NY
6+ years of relevant experience in a data driven setting as a machine learning engineer, data scientist, software engineer, or data engineer
Added 1 hour ago
UG
Senior Software Engineer - Remote
UnitedHealth Group
Eden Prairie, MN
- $91,700 to $163,700 USD / year
The Sr Software Engineer is a senior technical contributor responsible for designing, developing, deploying, and supporting scalable, secure, and high-performing software solutions. This…
Added 1 hour ago
Entry Level Planning Engineer
Carollo Engineers Inc.
Walnut Creek, CA
…planning/hydraulic modeling and related software is desired. An Engineer-in-Training Certification (EIT) is required with a minimum of two years of related experience. Candidates driven to…
Added 1 hour ago
Principal Engineer
Thomson Reuters Holdings Inc.
Frisco, TX · NY · Ann Arbor, MI · Eagan, MN
As Principal Engineer for Corporate Tax and Trade, you'll define and execute the technical vision for our generative AI products, ensuring we deliver powerful, user-friendly, and innovative…

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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