1

Android Ai Ml Engineer Infrastructure Jobs (NOW HIRING)

AI/ML Engineer

Arlington, VA · On-site

$120 - $180/hr

You will design, build, and maintain production AI/ML services and infrastructure that enable teams ... Working with software engineers, data engineers, data scientists, cybersecurity teams, and mission ...

New

You will design, build, and maintain production AI/ML services and infrastructure that enable teams ... Working with software engineers, data engineers, data scientists, cybersecurity teams, and mission ...

You will design, build, and maintain production AI/ML services and infrastructure that enable teams ... Working with software engineers, data engineers, data scientists, cybersecurity teams, and mission ...

Cloud Infrastructure/AI/ML Engineer

Boston, MA · On-site

$116K - $153K/yr

Cloud Infrastructure/AI/ML Engineer (Contract, 12+ months, Hybrid) - Location : Waltham, MA (Hybrid: 1-2 days onsite; free parking; relocation at candidate's expense) - Focus : Enable infrastructure ...

You will design, build, and maintain production AI/ML services and infrastructure that enable teams ... Working with software engineers, data engineers, data scientists, cybersecurity teams, and mission ...

Define the technical vision and strategy for AI/ML engineering platform spanning model development, training infrastructure, serving, evaluation, and governance * Solve complex AI/ML engineering ...

Deploy AI/ML applications and models in AWS using cloud engineering, infrastructure-as-code, CI/CD, and DevOps best practices. * Support explainable, auditable, and human-in-the-loop AI workflows ...

AI/ML Engineer Duration: 3-month contract (Could be extended for 6 months before conversion ... GitLab, Jenkins) Infrastructure as Code (Terraform/Ansible) Monitoring, logging, and AI ...

Define the technical vision and strategy for AI/ML engineering platform spanning model development, training infrastructure, serving, evaluation, and governance * Solve complex AI/ML engineering ...

Deploy AI/ML applications and models in AWS using cloud engineering, infrastructure-as-code, CI/CD, and DevOps best practices. * Support explainable, auditable, and human-in-the-loop AI workflows ...

Define the technical vision and strategy for AI/ML engineering platform spanning model development, training infrastructure, serving, evaluation, and governance * Solve complex AI/ML engineering ...

AI/ML Engineer (Python, AWS, GenAI) Location: Reston, VA (In-person interviews required) Candidate ... Implement CI/CD pipelines (GitHub/GitLab/CodePipeline) and Infrastructure-as-Code using Terraform ...

Define the technical vision and strategy for AI/ML engineering platform spanning model development, training infrastructure, serving, evaluation, and governance Solve complex AI/ML engineering ...

Deploy AI/ML applications and models in AWS using cloud engineering, infrastructure-as-code, CI/CD, and DevOps best practices. * Support explainable, auditable, and human-in-the-loop AI workflows ...

AI/ML ENGINEER Location: Reston,VA Duration: 12+ Months Visa: USC, GC, H1B and EAD Contract Type ... infrastructure. You will collaborate closely with business stakeholders to design, build, and ...

AI/ML Engineer I (Python) Location: Addison, TX | On-site, 5 days/week Type: Full-time Level: Early career About the Role We're hiring an AI/ML Engineer to build production AI systems alongside a ...

As an AI / ML Engineer, you will work closely with our ML and Data Engineers to turn Machine Learning models and data pipelines into robust software applications. You will play a central role in ...

Senior AI/ML Engineer

Arlington, VA · On-site

$120K - $165K/yr

You will lead the design and evolution of production AI/ML services and infrastructure that enable ... Working with software engineers, data engineers, data scientists, cybersecurity teams, and mission ...

Senior AI/ML Engineer

Arlington, VA · On-site

$140 - $210/hr

You will lead the design and evolution of production AI/ML services and infrastructure that enable ... Working with software engineers, data engineers, data scientists, cybersecurity teams, and mission ...

next page

Showing results 1-20

Android Ai Ml Engineer Infrastructure information

See salary details

$46.5K

$127.1K

$182K

How much do android ai ml engineer infrastructure jobs pay per year?

As of Aug 20, 2026, the average yearly pay for android ai ml engineer infrastructure in the United States is $127,066.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $141,000.00 per year, depending on experience, location, and employer.
More about Android Ai Ml Engineer Infrastructure jobs

What cities are hiring for Android Ai Ml Engineer Infrastructure jobs?

Cities with the most Android Ai Ml Engineer Infrastructure job openings:

What states have the most Android Ai Ml Engineer Infrastructure jobs?

States with the most job openings for Android Ai Ml Engineer Infrastructure jobs include:

What job categories do people searching Android Ai Ml Engineer Infrastructure jobs look for?

The top searched job categories for Android Ai Ml Engineer Infrastructure jobs are:

Infographic showing various Android Ai Ml Engineer Infrastructure job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $127,066 per year, or $61.1 per hour.

AI/ML Engineer

Doist

Arlington, VA • On-site

$120 - $180/hr

Other

Posted 2 days ago

New


Job description

540 is seeking an AI/ML Engineer to support a mission‑critical technology modernization effort for the Department of War. You will design, build, and maintain production AI/ML services and infrastructure that enable teams to develop, deploy, monitor, and scale models supporting complex defense missions. Working with software engineers, data engineers, data scientists, cybersecurity teams, and mission stakeholders, you will build reusable ML capabilities and automated pipelines using modern software engineering and MLOps practices. The ideal candidate enjoys solving complex engineering challenges and building secure, reliable AI/ML systems that directly support mission outcomes.

Location : Arlington, VA Citizenship & Clearance Requirement : Per client requirements, candidates must be U.S. Citizens with an active DoW Secret (or higher) clearance Education Requirement: Bachelor’s degree in Computer Science, Engineering, or a related technical field preferred; equivalent combinations of education and relevant experience will be considered 540 Internal Thrive Level: Software Engineer II or III

WHY 540?

540 is a forward-thinking company that the government turns to in order to #getshitdone. We don’t just talk about innovation – we deliver it. We break down barriers, build impactful technology, and solve mission‑critical problems.

HOW YOU’LL DRIVE IMPACT
  • Design, build, and maintain AI/ML services, products, and lifecycle capabilities supporting WDP
  • Develop automated pipelines for model training, validation, testing, deployment, and monitoring
  • Create reusable frameworks, libraries, and shared components that accelerate AI/ML development
  • Build model‑serving capabilities supporting secure, scalable, and reliable batch or real‑time inference
  • Implement MLOps practices using CI/CD, infrastructure as code, automated testing, and source control
  • Develop model monitoring, performance tracking, drift detection, and operational health capabilities
  • Support model explainability, reproducibility, governance, and lifecycle traceability
  • Manage model versions, artifacts, datasets, and feature‑engineering workflows
  • Optimize AI/ML services and infrastructure for performance, scalability, reliability, and cost efficiency
  • Collaborate with data engineers and data scientists to prepare data and operationalize models
  • Partner with cybersecurity teams to implement security, access‑control, auditing, and governance requirements
  • Troubleshoot issues spanning models, applications, data pipelines, infrastructure, and production services
  • Document AI/ML architectures, engineering processes, and operational procedures
REQUIRED SKILLS & EXPERIENCE
  • 4+ years of relevant AI/ML engineering, software engineering, or data science experience
  • Experience developing and deploying production‑grade AI or machine learning systems
  • Proficiency with Python and commonly used AI/ML frameworks
  • Experience building automated model training, validation, deployment, and monitoring pipelines
#J-18808-Ljbffr