Jobs in the United States

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Added 20 hours ago
Lead Software Engineer - Python, Unix
JPMC page
Jersey City, NJ
As a Lead Software Engineer at JPMorganChase within the Corporate Technology pillar, you are an integral part of an agile team that works to enhance, build, and deliver trusted…
Added 20 hours ago
Lead Software Engineer - Python, Infrastructure
JPMC page
Jersey City, NJ
As a Lead Software Engineer at JPMorganChase within the Corporate Technology pillar, you are an integral part of an agile team that works to enhance, build, and deliver trusted…
Added 20 hours ago
C+
Software Engineer – Python & MongoDB Applications
CTRL + LLC
Fort Meade, MD
- $105.92 to $116.95 USD / hour
Develop and sustain mission applications with Python, MongoDB and containers.
Added 20 hours ago
C+
Senior Software Integration Engineer – DevOps & Big Data Platforms
CTRL + LLC
Annapolis Junction, MD
- $112.04 to $123.71 USD / hour
Added 20 hours ago
C+
Senior Software Integration Engineer – Mission Operations Liaison
CTRL + LLC
Fort Meade, MD
- $112.04 to $123.71 USD / hour
Added 20 hours ago
C+
Senior Software Engineer – Generative AI & RAG
CTRL + LLC
Annapolis Junction, MD
- $123.63 to $136.51 USD / hour
Added 20 hours ago
C+
Python Software Engineer – Containerized Mission Applications
CTRL + LLC
Annapolis Junction, MD
- $105.92 to $116.95 USD / hour
Help build and sustain a suite of mission applications using Python, messaging and modern container platforms.
Added 20 hours ago
C+
Senior Software Engineer – HPC Identity & Access Management
CTRL + LLC
Annapolis Junction, MD
- $123.63 to $136.51 USD / hour
Added 20 hours ago
C+
Senior Software Engineer – Python & Rust Mission Applications
CTRL + LLC
Fort Meade, MD
- $123.63 to $136.51 USD / hour
Build and sustain a suite of mission applications. Write Python today, grow into Rust, and ship containerized services on Kubernetes.
Added 20 hours ago
C+
Senior Test Automation Engineer – Microservices
CTRL + LLC
Annapolis Junction, MD
- $113.62 to $125.45 USD / hour
Added 20 hours ago
C+
Lead HPC Software Integration Engineer
CTRL + LLC
Annapolis Junction, MD
- $129.35 to $142.82 USD / hour
Added 20 hours ago
C+
Senior Software Engineer – Spark & Airflow Data Pipelines
CTRL + LLC
Fort Meade, MD
- $123.63 to $136.51 USD / hour
Added 20 hours ago
C+
Senior Kubernetes Platform Engineer
CTRL + LLC
Fort Meade, MD
- $112.04 to $123.71 USD / hour
Python REST services and microservices, or willingness to learn
Added 20 hours ago
Virtualization Platform Engineer
LLNL
Livermore, CA
We have an opening for a Virtualization Platform Engineer to design, implement, and manage the virtualization infrastructure that supports enterprise applications and services for the…
Added 20 hours ago
C+
Lead DevOps Engineer – AWS & Kubernetes
CTRL + LLC
Annapolis Junction, MD
- $121.47 to $134.12 USD / hour
Develop Infrastructure as Code with Python, Ansible and Terraform
Added 20 hours ago
C+
AI Engineer – LLM & Agentic Workflows
CTRL + LLC
Annapolis Junction, MD
- $77.31 to $85.36 USD / hour
Engineer and refine prompts and agent instructions
Added 20 hours ago
C+
Systems Engineer – Linux Closed-Network Operations
CTRL + LLC
Annapolis Junction, MD
- $98.02 to $108.23 USD / hour
Automate operational and maintenance tasks with Bash and Python
Added 20 hours ago
C+
Senior Software Integration Engineer – Atlassian Tools
CTRL + LLC
Annapolis Junction, MD
- $112.04 to $123.71 USD / hour
Added 20 hours ago
Lead DevOps Software Engineer – Kubernetes & RF Systems
CTRL + LLC
Fort Meade, MD
Develop, deploy and administer complex systems using C++ or Python, Kubernetes and GPU technologies for satellite communications.
Added 20 hours ago
C+
Platform Engineer – Kubernetes & Full-Stack Deployments
CTRL + LLC
Annapolis Junction, MD
- $77.14 to $85.17 USD / hour
Added 20 hours ago
C+
DevOps Software Engineer – Production Operations
CTRL + LLC
Fort Meade, MD
- $105.92 to $116.95 USD / hour
Added 20 hours ago
C+
Senior Software Integration Engineer – Ansible & GitOps Deployments
CTRL + LLC
Annapolis Junction, MD
- $112.04 to $123.71 USD / hour
Added 20 hours ago
Data Engineer
Derex Technologies Inc
Jefferson City, MO
Strong hands-on experience with Microsoft Fabric, Python/PySpark, Spark SQL, and SQL Server/T-SQL.
Added 20 hours 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 20 hours ago
TS/ SCI Windows Developer
Insight Global
JBSA Lackland, TX
Reverse-engineer Windows components and third-party software

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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