Jobs in the United States

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Added 3 mins ago
Senior Mechanical Engineer
HPE
Sunnyvale, CA
…help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to…
Added 3 mins ago
Principal Mechanical Engineer
HPE
Sunnyvale, CA
…help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to…
Added 4 mins ago
AI Engineer
Fractal Analytics Inc
TX
As an AI Engineer at Fractal, a company committed to integrating artificial intelligence in decision-making across Fortune 500 companies, you will develop and deploy AI models using…
Added 5 mins ago
IC
Water Utility Civil Engineer
Innovation Consulting
Philadelphia, PA
- $119,000 to $172,000 USD / year
Gather and analyze supply, storage, water quality, and operations data to propose capital improvements.
Added 5 mins ago
IC
Water Utility Civil Engineer
Innovation Consulting
St. Louis, MO
- $119,000 to $172,000 USD / year
Gather and analyze supply, storage, water quality, and operations data to propose capital improvements.
Added 5 mins ago
IC
Water Utility Civil Engineer
Innovation Consulting
San Diego, CA
- $119,000 to $172,000 USD / year
Gather and analyze supply, storage, water quality, and operations data to propose capital improvements.
Added 5 mins ago
IC
Water Utility Civil Engineer
Innovation Consulting
Phoenix, AZ
- $119,000 to $172,000 USD / year
Gather and analyze supply, storage, water quality, and operations data to propose capital improvements.
Added 5 mins ago
IC
Water Utility Civil Engineer
Innovation Consulting
Reno, NV
- $119,000 to $172,000 USD / year
Gather and analyze supply, storage, water quality, and operations data to propose capital improvements.
Added 5 mins ago
IC
Water Utility Civil Engineer
Innovation Consulting
Oakland, CA
- $119,000 to $172,000 USD / year
Gather and analyze supply, storage, water quality, and operations data to propose capital improvements.
Added 5 mins ago
IC
Water Utility Civil Engineer
Innovation Consulting
Boise, ID
- $119,000 to $172,000 USD / year
Gather and analyze supply, storage, water quality, and operations data to propose capital improvements.
Added 5 mins ago
IC
Water Utility Civil Engineer
Innovation Consulting
Los Angeles, CA
- $119,000 to $172,000 USD / year
Gather and analyze supply, storage, water quality, and operations data to propose capital improvements.
Added 5 mins ago
IC
Water Utility Civil Engineer
Innovation Consulting
Sacramento, CA
- $119,000 to $172,000 USD / year
Gather and analyze supply, storage, water quality, and operations data to propose capital improvements.
Added 5 mins ago
IC
Water Utility Civil Engineer
Innovation Consulting
Walnut Creek, CA
- $119,000 to $172,000 USD / year
Gather and analyze supply, storage, water quality, and operations data to propose capital improvements.
Added 5 mins ago
IC
Water Utility Civil Engineer
Innovation Consulting
San Jose, CA
- $119,000 to $172,000 USD / year
Gather and analyze supply, storage, water quality, and operations data to propose capital improvements.
Added 5 mins ago
A
Construction Project Engineer (Data Center)
AECOM
North Las Vegas, NV
- $65,000 to $118,000 USD / year
AECOM is seeking a Project Engineer to be based in North Las Vegas, NV.
Added 6 mins ago
FL
Water Systems Manager
FOREST LAWN MORTUARY
Glendale, CA
- $140,000 to $185,000 USD / year
The Senior Water Systems Engineer is Forest Lawn’s senior technical authority for water resource planning, distribution and treatment system design, hydraulic modeling, asset management,…
Added 7 mins ago
Lead Software Engineer
Financial Industry Regulatory Authority, Inc.
Rockville, MD · Tysons, VA
Strong experience in data storage technologies
Added 11 mins ago
Sr Applications Engineer - 2288
Kioxia
Irvine, CA
…FLASH™ 3D flash memory technology is shaping the future of storage in high-density applications, including advanced smartphones, PCs, SSDs, automotive, and data…
Added 11 mins ago
Sr. Product Design Engineer, LV Power Distribution, Data Center Engineering, Electrical Products and Services
Amazon Data Services, Inc.
Austin, TX · Seattle, WA · Atlanta, GA · Columbus, OH · Herndon, VA · Chicago, IL
…we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have…
Added 18 mins ago
Senior Mechanical Engineer
Hewlett Packard Enterprise
Sunnyvale, CA
…help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to…
Added 18 mins ago
Principal Mechanical Engineer
Hewlett Packard Enterprise
Sunnyvale, CA
…help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to…
Added 21 mins ago
Union Mobile Engineer
US AMR-Jones Lang LaSalle Americas, Inc.
Mountain View, CA
…Pumps, for both Potable and Non-Potable systems), Critical Data Center Rounds/Readings, Emergency Power Systems (Generators, etc.), Life Safety Systems (Sprinkler Systems, Emergency Exit…
Added 21 mins ago
Critical Environments Operating Engineer (Swing)
US AMR-Jones Lang LaSalle Americas, Inc.
Reno, NV
As a Critical Environments Operating Engineer at JLL, you'll be at the forefront of maintaining mission-critical data center infrastructure that powers the digital world. This role is…
Added 21 mins ago
Critical Environments Operating Engineer (Nights)
US AMR-Jones Lang LaSalle Americas, Inc.
Reno, NV
As a Critical Environments Operating Engineer at JLL, you'll be at the forefront of maintaining mission-critical data center infrastructure that powers the digital world. This role is…
Added 21 mins ago
Critical Environments Operating Engineer (Days)
US AMR-Jones Lang LaSalle Americas, Inc.
Reno, NV
As a Critical Environments Operating Engineer at JLL, you'll be at the forefront of maintaining mission-critical data center infrastructure that powers the digital world. This role is…

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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