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H1B Machine Learning Jobs in Maryland (NOW HIRING)

Sbdinc

Senior Designer

Towson, MD · Hybrid

$63K - $102K/yr

... casting, machining, gearing, sheet metal, forgings, powdered metal, stampings, etc. Basic ... Learn: Have access to a wealth of learning resources, including our digital learning portal.

Stanley Black & Decker

Senior Designer

Towson, MD · Hybrid

$102K/yr

... casting, machining, gearing, sheet metal, forgings, powdered metal, stampings, etc. • Basic ... Learn: Have access to a wealth of learning resources, including our digital learning portal.

Stanley Black & Decker

Senior Designer

Towson, MD · On-site

$63K - $102K/yr

... casting, machining, gearing, sheet metal, forgings, powdered metal, stampings, etc. • Basic ... Learn: Have access to a wealth of learning resources, including our digital learning portal.

All JobsH1B Machine Learning JobsH1B Machine Learning Jobs in Maryland

H1B Machine Learning information

What are some common challenges H1B machine learning professionals face when adapting to a new work environment in the U.S.?

H1B Machine Learning professionals often encounter challenges such as adjusting to new workplace cultures, navigating different communication styles, and understanding expectations for collaboration and project ownership. Additionally, they may need to quickly familiarize themselves with the company’s tech stack and agile workflows while maintaining compliance with visa-related documentation. Building strong relationships with colleagues and proactively seeking mentorship can help ease the transition and accelerate professional growth.

What are the key skills and qualifications needed to thrive as a machine learning engineer on an H1B visa?

To thrive as a Machine Learning Engineer on an H1B visa, you generally need a strong background in computer science, mathematics, and statistics, typically demonstrated by a relevant degree and practical experience. Proficiency in programming languages like Python or R, experience with ML frameworks such as TensorFlow or PyTorch, and familiarity with cloud platforms are essential, while certifications like AWS Certified Machine Learning may be advantageous. Strong problem-solving abilities, effective communication, and adaptability help you collaborate across diverse teams and rapidly evolving projects. These skills and qualifications are vital for delivering impactful ML solutions and meeting the rigorous expectations of U.S. employers sponsoring H1B visas.

What is an H1B machine learning job?

An H1B Machine Learning job refers to a position in the field of machine learning offered by a U.S. employer to a foreign worker who is authorized to work in the United States under the H1B visa program. These jobs typically involve designing, developing, and deploying algorithms that enable computers to learn from data. H1B Machine Learning professionals may work on projects such as natural language processing, computer vision, or predictive analytics. Employers must sponsor the H1B visa, and the worker must have specialized knowledge and at least a bachelor's degree in a related field.

What is the difference between H1B Machine Learning vs H1B Data Scientist?

AspectH1B Machine LearningH1B Data Scientist
Required CredentialsDegree in CS, ML, or related field; certifications like TensorFlow, AWSDegree in CS, Statistics, or related; certifications in data analysis tools
Work EnvironmentResearch labs, tech companies, startups focusing on ML modelsBusiness analytics, data analysis teams, consulting firms
Employer & Industry UsageTech firms, AI startups, R&D departmentsFinance, healthcare, e-commerce, consulting
Common Search & ComparisonYesYes

H1B Machine Learning and H1B Data Scientist roles often overlap in credentials and industry usage. Machine Learning specialists focus on developing algorithms and models, while Data Scientists analyze data to derive insights. Both roles are in high demand across tech and industry sectors, but their core responsibilities differ slightly, making them distinct yet related career paths.

What are popular job titles related to H1B Machine Learning jobs in Maryland?

For H1B Machine Learning jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching H1B Machine Learning jobs in Maryland look for?

The top searched job categories for H1B Machine Learning jobs in Maryland are:

What cities in Maryland are hiring for H1B Machine Learning jobs?

Cities in Maryland with the most H1B Machine Learning job openings:

H1B Machine Learning jobs near you

Cleared Hybrid Full Stack AI Developer (5490)

SMX

Hanover, MD • On-site, Remote

$135K - $227K/yr

Full-time

Medical, Retirement, PTO

Posted 10 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. This role is hybrid supporting a Hanover, MD program
Essential Duties & Responsibilities:
  • Design, develop, and maintain scalable full-stack web applications using modern frameworks and cloud-native architectures
  • Build and maintain user interfaces using React and related front-end technologies
  • Develop backend services, APIs, serverless functions, and integrations using Python and/or Node.js
  • Integrate AI and machine learning services such as Amazon Bedrock and other large language model (LLM) platforms into enterprise applications
  • Implement Retrieval-Augmented Generation (RAG), agentic AI workflows, and AI orchestration capabilities
  • Optimize AI model prompts, monitor model performance, and support cost-efficient AI solution design
  • Support deployment automation, monitoring, troubleshooting, and operational sustainment of AI-enabled systems
  • Collaborate with engineers, product owners, and stakeholders to deliver scalable and secure solutions
  • Ensure compliance with cybersecurity requirements and cloud governance best practices utilizing AWS IAM, security guardrails, and related controls
  • Support DevSecOps activities including CI/CD pipelines, infrastructure automation, and cloud cost management

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

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

The SMX salary determination process takes into account a number of factors, including but not limited to, geographic location, Federal Government contract labor categories, relevant prior work experience, specific skills, education and certifications. At SMX, one of our Core Values is to Invest in Our People so we offer a competitive mix of compensation, learning & development opportunities, and benefits. Some key components of our robust benefits include health insurance, paid leave, and retirement.
The proposed salary for this position is:
$135,100-$227,000 USD
At SMX®, we are a team of technical and domain experts dedicated to enabling your mission. From priority national security initiatives for the DoD to highly assured and compliant solutions for healthcare, we understand that digital transformation is key to your future success.
We share your vision for the future and strive to accelerate your impact on the world. We bring both cutting edge technology and an expansive view of what's possible to every engagement. Our delivery model and unique approaches harness our deep technical and domain knowledge, providing forward-looking insights and practical solutions to power secure mission acceleration.
SMX is an Equal Opportunity employer including disabilities and veterans.
Selected applicant may be subject to a background investigation and/or education verification.
SMX does not sponsor a new applicant for employment authorization or immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).

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