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Android Ai Ml Engineer Infrastructure Jobs (NOW HIRING)

540

AI/ML Engineer

Arlington, VA · On-site

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 ...

540

AI/ML Engineer

Arlington, VA

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 ...

Winaxis

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 ...

540

AI/ML Engineer

Arlington, VA · On-site

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 ...

ShiftCode Analytics, Inc.

AI/ML Engineer

Brooklyn, NY · On-site

The role focuses on infrastructure, MLOps, and cloud AI deployment, requiring strong expertise in ... ML engineering with a focus on infrastructure, MLOps, and cloud AI deployment. • Proven ...

Lululemon athletica

Staff AI/ML Engineer

Seattle, WA · On-site

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 ...

System One

AI/ML Engineer

Mclean, VA · Remote

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 ...

Lululemon

Staff AI/ML Engineer

Seattle, WA · On-site

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 ...

Digital Links Inc

AI/ML Engineer

Minneapolis, MN · On-site

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 ...

Interon IT Solutions

AI/ML Engineer

Reston, VA · On-site

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 ...

System One

AI/ML Engineer

Mclean, VA · Remote

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 ...

System One

AI/ML Engineer

Mclean, VA · Remote

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 ...

BTree Solutions, Inc.

AI/ML ENGINEER

Reston, VA · On-site

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 ...

lululemon

Staff AI/ML Engineer

Seattle, WA · On-site

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 ...

SAIC

AI/ML Engineer

Chantilly, VA · Hybrid

$200K - $240K/yr

ORA_ON_SITE Description SAIC is seeking an experienced AI/ML Engineer to serve as a senior ... Support model-agnostic infrastructure leveraging partnerships with AI Titans and existing ...

Belva.ai

AI/ML Engineer

Bellevue, WA · On-site

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 ...

540

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 ...

SAIC

AI/ML Engineer

Chantilly, VA · On-site

$200K - $240K/yr

ORA_ON_SITE Description SAIC is seeking an experienced AI/ML Engineer to serve as a senior ... Support model-agnostic infrastructure leveraging partnerships with AI Titans and existing ...

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

As of Sep 9, 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.
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Android Ai Ml Engineer Infrastructure jobs near you
Infographic showing various Android Ai Ml Engineer Infrastructure job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $127,066 per year, or $61.1 per hour.

AI/ML Engineer

Arlington, VA • On-site

540
See more jobs at 540external

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago

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
  • Experience with MLOps platforms, practices, and tools
  • Experience deploying models in cloud-based or containerized environments
  • Experience developing APIs, microservices, or model-serving capabilities for batch or real-time inference
  • Understanding of model evaluation, performance monitoring, drift detection, explainability, and governance
  • Experience with Docker, Kubernetes, or similar containerization and orchestration technologies
  • Experience with CI/CD, infrastructure as code, automated testing, and source control
  • Experience working within AWS, Azure, or Google Cloud
  • Familiarity with data pipelines, feature engineering, distributed data processing, and data versioning
  • Ability to troubleshoot issues across applications, infrastructure, data, and machine learning systems
  • Strong communication and collaboration skills, including the ability to document and explain technical decisions

NICE TO HAVE
  • Experience supporting DoW, federal, Advana, or other enterprise AI/ML and data platforms
  • Experience with AWS SageMaker or comparable cloud AI/ML platforms
  • Experience with MLflow, Kubeflow, Airflow, Argo Workflows, Ray, Feast, or similar tools
  • Experience building AI/ML solutions in secure, regulated, classified, or mission-critical environments
  • Familiarity with large language models, generative AI, retrieval-augmented generation, or foundation-model operations
  • Experience implementing responsible AI, model-risk-management, or AI-governance practices
  • Currently holds, or is willing to obtain within 30 days of employment, an approved certification such as CCSP, CFR, FITSP-M, GSEC, Security+, or SSCP

BENEFITS & PERKS
  • Flexible PTO + all Federal holidays off
  • Health, dental and vision insurance plans
  • Flexible Spending Account (FSA)
  • 401k with employer match
  • Company-sponsored life insurance, short- and long-term disability
  • Professional development (training, certifications, conferences)
  • Paid cloud developer accounts
  • Referral bonuses
  • HQ office perks (parking / metro reimbursement, nitro coffee & lunches)
  • Annual social events (540 Week, hackathon, charity golf tournament, etc.)
  • Access to 540's Washington Capitals & Nationals tickets

EQUAL EMPLOYMENT OPPORTUNITY (EEO)
540's policy is to provide equal employment opportunity to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

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