ZipRecruiter

Log In

1

H1B Machine Learning Jobs in Maryland (NOW HIRING)

SMX

VMware Systems Administrator (5295)

Patuxent River, MD · On-site

$80K - $134K/yr

Deploy and maintain physical and virtual hardware infrastructure, to include virtual machines and ... 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 ...

Donaldson Company, Inc.

Flexibility and agility in afastpaced, changing environment with a desire for continuous learning ... H1B, J1, F1, CPT, OPT, etc.). * Donaldson will not offer immigration sponsorship or assume ...

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.

All JobsH1B Machine Learning JobsH1B Machine Learning Jobs in Maryland

H1B Machine Learning information

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 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 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 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

Position/PostingTitle Digital Enterprise Data Engineer

Bnh Jv

Arnold, MD • On-site

$89 - $145/hr

Other

Medical, Retirement, PTO

Posted 18 days ago

Job description

Overview

Job Title: Digital Enterprise Data Engineer

Location: Arnold AFB, TN

Job Family Code: O - Engineering

Function/Branch: Engineering/Digital Enterprise

Directorate: Engineering Tech & Support

Position Type: Regular, Full-Time

Pay Type: Exempt

Grade: L07 (OA0769) - L08 (OA0862)

Salary Range: Grade 07: $89,000 - $119,000; Grade 08: $110,000 - $145,000 /year

Beyond New Horizons, LLC (BNH) has an exciting opportunity for a Digital Enterprise Data Engineer, supporting TOS II, at Arnold Air Force Base, TN. As a Digital Enterprise Data Engineer, you will work as a member of the Digital Enterprise group (DE) in the Mission Support Branch to lead implementation of data-centered projects to improve the AEDC ground test data infrastructure, facility operations, and business systems. The person selected for this role will work closely with multidisciplinary work teams throughout the Beyond New Horizons (BNH) organization to identify opportunities for leveraging data to drive decisions and will help design and implement a data architecture working with the Digital Enterprise team.

Open to internal and external candidates. The selected candidate for this requisition may be required to occasionally work outside normal business hours.

Job Duties:
  • Development and implement data-engineering strategies and programs.
  • Utilize test data sources to optimize data analytics at AEDC and suggest ways which insights obtained might be used to inform testing sustainment and operational strategies.
  • Automate manual processes, optimizing data delivery, re‑designing infrastructure for greater scalability.
  • Utilize machine learning tools to select features, create, and optimize classifiers.
  • Integrate AI solutions into the ETL or data platforms both on prem and in the cloud.
  • Define & develop approaches and demonstrate abilities to mine and analyze data from databases to drive optimization and improvement of data collected at AEDC.
  • Identify and assess the effectiveness of data engineering, data sources and data gathering techniques.
  • Utilize applicable experience in “big data”, analytics, algorithmic, custom data models, algorithms and/or machine learning approaches to help extract data that will help drive engineering decisions.
  • Coordinate with different multidisciplinary teams to implement models and monitor outcomes.
  • Define & develop processes and tools to monitor and analyze model performance and data accuracy.
  • Define & develop the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and ‘big data’ technologies.
  • It is a condition of employment to wear company issued PPE (Personal Protective Equipment) in accordance with supervisory direction and company policy.
  • Identify and complete projects associated to data-engineering.
  • Performs other related duties as required.
Basic Qualifications:
  • B.S. in Computer Science, Statistics, Mathematics, Engineering or another relevant engineering field from an accredited university program.
  • Grade 07: 2 years of progressive IT/Data work experience; In lieu of degree 6 years of IT/Data related experience.
  • Grade 08: 5 years of progressive IT/Data work experience; In lieu of degree 9 years of IT/Data related experience.
  • Current U.S. Citizenship is required.
Preferred Qualifications:
  • Experience with development lifecycle methodologies such as Agile DevSecOps.
  • Experience with data scripting language software like Python, Java, C++, or Ruby and SQL.
  • Experience with data extraction tools and processes, data ingestion, ETL, data mining, API’s and data warehousing.
  • Experience with AI solutions.
  • Demonstrated experience in a data engineering role.
  • Knowledge of a variety of machine learning techniques and their real-world advantages/drawbacks.
  • Coding knowledge and experience with multiple languages.
What We Offer:
  • Competitive salaries
  • Continuing education assistance
  • Multiple healthcare benefits packages
  • 401K with employer matching
  • Paid time off (PTO) along with a federally recognized holiday schedule

U.S. Citizenship is required. At this time BNH will not sponsor any applicants for employment authorization or offer any immigration related support for this position (i.e. H1b, F1 OPT, F-1 STEM OPT, F-1 CPT, J-1, E-2, E-3, L-1, or other forms of work authorization that require immigration support from an employer).

Grade 07: $89,000 - $119,000; Grade 08: $110,000 - $145,000 /year at Arnold AFB, TN

BNH is an Equal Employment Opportunity Employer. We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, veteran status, and any other grounds for discrimination prohibited by applicable law.

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.

#J-18808-Ljbffr

Apply