Machine Learning Engineer jobs in United States
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AISquared · 3 months ago

Machine Learning Engineer

positionWashington, DC
timeFull-time
remoteOnsite
senioritySenior Level
date5+ years exp

aisquared is a company focused on AI solutions, and they are seeking a highly skilled Machine Learning Engineer to join their core AI team. In this role, you will be responsible for deploying, maintaining, and monitoring AI/ML systems, while collaborating with data scientists and product teams to ensure reliable and efficient solutions.

Artificial Intelligence (AI)Data Collection and LabelingInformation ServicesInformation TechnologyMachine Learning
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H1B Sponsor Likelynote

Responsibilities

Design, implement, and maintain ML deployment pipelines for scalable production systems
Operationalize large language models (LLMs) and other AI/ML models, ensuring high availability and reliability
Build robust model monitoring, logging, and alerting systems to track performance and detect drift
Partner with data scientists to transition models from research/prototype into production-ready deployments
Develop CI/CD pipelines for ML workflows, integrating testing, validation, and automated deployment
Optimize runtime performance of ML models across cloud platforms (AWS, GCP, Azure) and distributed systems
Apply containerization and orchestration (Docker, Kubernetes) to enable reproducible, scalable systems
Collaborate with cross-functional teams to ensure ML systems align with platform goals and business requirements

Qualification

Machine Learning EngineeringMLOpsCloud PlatformsContainerizationPythonML Lifecycle ToolingProblem-solvingCommunicationCollaboration

Required

5+ years of experience as a Machine Learning Engineer, MLOps Engineer, or similar role
Proven experience deploying and maintaining machine learning models in production at scale
Hands-on experience with ML lifecycle tooling (MLflow, Kubeflow, SageMaker, Vertex AI, or similar)
Strong proficiency in Python; familiarity with ML frameworks such as PyTorch or TensorFlow
Deep knowledge of containerization (Docker) and orchestration (Kubernetes) for production ML systems
Expertise with cloud platforms (AWS, GCP, Azure) for ML deployment and scaling
Strong understanding of MLOps best practices, monitoring, and automation
Excellent problem-solving skills, with an emphasis on building reliable, scalable systems
Strong communication and collaboration skills across technical and non-technical teams

Company

AISquared

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AISquared helps large organizations bring AI to where work happens.
dateFounded in 2021
location
Mountain View, California, USA
people-size51-200 employees
web-link
https://aisquared.ai

H1B Sponsorship

AISquared has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2022 (1)
2021 (8)

Funding

Current Stage
Growth Stage
Total Funding
$19.8M
Key Investors
Ansa CapitalNew Enterprise Associates
2024-04-17Series A· $13.8M
2022-06-27Seed· $6M

Leadership Team

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Darren Kimura
President and Chief Executive Officer
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Recent News

Business News: Pasadena Star-News
AI is transforming how we bank: What this means for your money
2025-09-19
PR Newswire
AI Squared Launches Sparx, a Plug-and-Play Platform That Unifies Sales, Finance and Operations Data in Real Time
2025-08-13
Finovate
AI Squared Unveils Sparx, Unifying Sales, Finance and Operations Data
2025-08-13
Company data provided by crunchbase