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H1B Machine Learning Jobs in Virginia (NOW HIRING)

BTree Solutions, Inc.

AI ENGINEER

Reston, VA · On-site

USC, GC, H1B and EAD Contract Type: W2 * Develop and optimize machine learning and deep learning models using frameworks like TensorFlow or PyTorch. * Strong skills in programming languages such as ...

BTree Solutions, Inc.

AI/ML ENGINEER

Reston, VA · On-site

USC, GC, H1B and EAD Contract Type: W2 We are seeking a highly skilled and motivated AI/ML Engineer ... This role is ideal for someone who thrives at the intersection of machine learning, large language ...

SynergisticIT

Junior/Entry Level Coder - Remote

Richmond, VA · On-site

$66K - $86K/yr

We assist in filing for STEM extension and also for H1b and green card filing to candidates. We want data science/machine learning/data analyst and Java stack candidates. For data science/machine ...

Capital One

Lead Software Engineer

Mclean, VA · On-site

We build data-driven tools that use machine learning to prevent risks & automatically detect issues ... 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 ...

Capital One

Lead Software Engineer

Richmond, VA

We build data-driven tools that use machine learning to prevent risks & automatically detect issues ... 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 ...

Capital One

Lead Software Engineer

Mclean, VA · On-site

We build data-driven tools that use machine learning to prevent risks & automatically detect issues ... 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 ...

Capital One

Lead Data Engineer (Bank Tech)

Mclean, VA · On-site

Work with a team of developers with deep experience in machine learning, distributed microservices ... 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 ...

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All JobsH1B Machine Learning JobsH1B Machine Learning Jobs in Virginia

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 Virginia? For H1B Machine Learning jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching H1B Machine Learning jobs in Virginia look for? The top searched job categories for H1B Machine Learning jobs in Virginia are:
What cities in Virginia are hiring for H1B Machine Learning jobs? Cities in Virginia with the most H1B Machine Learning job openings:
H1B Machine Learning jobs near you

AI ENGINEER

BTree Solutions, Inc.

Reston, VA • On-site

Contractor

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job Title: AI ENGINEER
Location: Reston, VA
Duration: 12+ Months
Visa: USC, GC, H1B and EAD
Contract Type: W2
Job Description:
  • Develop and optimize machine learning and deep learning models using frameworks like TensorFlow or PyTorch.
  • Strong skills in programming languages such as Python, R, or Java, essential for developing AI applications.
  • Build and maintain AI pipelines, from data processing to model deployment.
  • Analyze complex datasets to uncover insights and improve model performance.
  • Ability to analyze complex problems and develop effective AI-driven solutions.
  • Deploy AI solutions on cloud platforms such as AWS.
  • Collaborate with technical and business teams to identify AI opportunities and deliver impactful solutions.
  • Deep understanding of deploying AI applications within a CICD environment, specifically AWS.

Preferred qualifications:
  • Experience with MLOps tools (e.g., MLflow, Kubeflow).
  • Knowledge of big data technologies (Spark, Hadoop, Databricks).
  • Background in NLP, computer vision, or other advanced AI techniques.
  • Relevant certifications (Coursera, edX, AWS, Azure, Google Cloud).

Required qualifications:
  • Strong programming skills in Python, R, or Java.
  • Hands-on experience with machine learning algorithms and frameworks.
  • Familiarity with major cloud platforms for AI deployment.
  • Strong analytical and problem-solving skills.
  • Solid foundation in mathematics and statistics.

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