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Executive Full Stack Machine Learning Engineer Jobs in Maryland

As a Machine Learning Engineer, you will prepare datasets, train and optimize models, and maintain and improve model inference services. You will learn and apply new techniques from open source ...

Overview Python Full Stack Developer Onsite | Ft. Meade | Onsite (may be flexibility for the right ... Data Visualization, Machine Learning Engineering, LLM Integration * Passion for technology and the ...

You will lead the design and delivery of complex ML systems, architect integrations across our tech stack, and set the engineering standard for how we build and deploy machine learning solutions at ...

Senior Machine Learning Engineer

Rockville, MD ยท On-site

$106K - $146K/yr

Senior Machine Learning Engineer North Bethesda, MD Xometry powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life.

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Executive Full Stack Machine Learning Engineer information

What is the difference between Executive Full Stack Machine Learning Engineer vs Data Scientist?

AspectExecutive Full Stack Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, Engineering, or related; often requires experience in ML and full stack developmentBachelor's/Master's in Data Science, Statistics, or related; strong analytical and statistical skills
Work EnvironmentDevelops end-to-end ML solutions, integrates backend and frontend, collaborates with engineering teamsAnalyzes data, builds models, visualizes insights, often in research or analytics teams
Industry UsageUsed in tech companies, startups, and enterprises deploying ML productsCommon in research institutions, analytics firms, and data-driven organizations

The Executive Full Stack Machine Learning Engineer focuses on building and deploying complete ML solutions, combining software engineering and data science skills. In contrast, Data Scientists primarily analyze data and develop models without necessarily handling full stack development. Both roles require strong technical credentials but differ in scope and daily tasks.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Maryland? The most popular types of Full Stack Machine Learning Engineer jobs in Maryland are:
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Cleared Hybrid Full Stack AI Developer (5319)

SMX

Hanover, MD โ€ข Hybrid

Other

Posted 21 days ago


Job description

cBEYONData a subsidiary of SMX is seeking a Full Stack AI Developer to design, develop, and maintain scalable AI-enabled web applications and cloud-native solutions leveraging AWS technologies. The ideal candidate is a strong systems thinker with experience across front-end development, backend services, cloud infrastructure, and emerging AI technologies. This role will support the development of modern AI-powered applications, integrations, and automation capabilities while ensuring scalability, security, and operational efficiency in a high-tempo environment.ย This role is hybrid supporting a Hanover, MD program

Essential Duties & Responsibilities:

ย  ย Design, develop, and maintain scalable full-stack web applications using modern frameworks and cloud-native architectures
ย  ย Build and maintain user interfaces using React and related front-end technologies
ย  ย Develop backend services, APIs, serverless functions, and integrations using Python and/or Node.js
ย  ย Integrate AI and machine learning services such as Amazon Bedrock and other large language model (LLM) platforms into enterprise applications
ย  ย Implement Retrieval-Augmented Generation (RAG), agentic AI workflows, and AI orchestration capabilities
ย  ย Optimize AI model prompts, monitor model performance, and support cost-efficient AI solution design
ย  ย Support deployment automation, monitoring, troubleshooting, and operational sustainment of AI-enabled systems
ย  ย Collaborate with engineers, product owners, and stakeholders to deliver scalable and secure solutions
ย  ย Ensure compliance with cybersecurity requirements and cloud governance best practices utilizing AWS IAM, security guardrails, and related controls
ย  ย Support DevSecOps activities including CI/CD pipelines, infrastructure automation, and cloud cost management

Required Skills & Experienceย 

ย  ย Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or related field
ย  ย Minimum 5 years of professional experience in full-stack software development
ย  ย Demonstrated experience developing modern web applications using:
o ย  ย React or similar front-end frameworks
o ย  ย Python and/or Node.js backend technologies
ย  ย Experience developing and deploying cloud-native applications in AWS environments
ย  ย Demonstrated experience supporting at least one production-grade AI or machine learning implementation
ย  ย Experience integrating APIs, asynchronous processing, and scalable backend services
ย  ย Understanding of software security principles and secure cloud architecture practices
ย  ย Experience with DevSecOps concepts and modern software delivery practices
ย  ย Strong troubleshooting, analytical, and problem-solving skills
ย  ย Excellent written and verbal communication skills
ย  ย Secret clearance
ย  ย CompTIA Security+ certification required

Desired Skills & Experienceย 

ย  ย Experience with Amazon Bedrock or other enterprise generative AI platforms
ย  ย Experience implementing RAG architectures, AI agents, or orchestration frameworks
ย  ย Familiarity with vector databases, embeddings, and AI evaluation techniques
ย  ย Experience optimizing AI model usage for performance and cost efficiency
ย  ย Familiarity with containerization and orchestration technologies
ย  ย Experience supporting federal or DoD environments

Application Deadline:ย  7-25-2026

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