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H1B Machine Learning Jobs in Pennsylvania (NOW HIRING)

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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 Pennsylvania?

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

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

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

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

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

H1B Machine Learning jobs near you

URGENT HIRING - AI / ML Software Engineer (W2/C2C/1099/H1B/USC/TN/)

Brillfy Technology

Malvern, PA • On-site

$132K - $177K/yr

Other

Posted 4 days ago

Job description

Location: Malvern, PA – 100% Onsite
Experience: 15+ Years
Job Type: Contract
Work Authorization: H1B, TN,

Job Summary

We are seeking a highly experienced AI / ML Software Engineer with strong hands-on expertise in Machine Learning, Generative AI, LLMs, NLP, MLOps, and production software engineering.

The ideal candidate will bring 15+ years of engineering experience with a proven track record of designing, developing, deploying, and operating production-grade AI/ML and Generative AI solutions. This is a hands-on technical leadership role requiring strong experience in architecture, coding, model optimization, cloud platforms, MLOps, and mentoring.

Key Responsibilities
  • Design, develop, deploy, and operate production-grade ML, LLM, and Generative AI services.
  • Provide hands-on technical leadership across architecture, design, implementation, and production operations.
  • Build and institutionalize MLOps capabilities including automated deployment, monitoring, model lifecycle management, and governance.
  • Develop and optimize NLP solutions for summarization and text generation.
  • Work hands-on with OpenAI APIs, GPT models, prompt engineering, model evaluation, and GenAI optimization.
  • Evaluate generative models and improve quality, performance, scalability, and reliability.
  • Implement production monitoring for AI/ML model performance and reliability.
  • Design and implement Retrieval-Augmented Generation (RAG) solutions.
  • Work with Product Managers, Data Scientists, ML Engineers, and business stakeholders to prioritize and deliver AI use cases.
  • Conduct architecture reviews, design reviews, code reviews, and mentor engineers.
  • Communicate complex AI/ML concepts and technical results to technical and non-technical stakeholders.
  • Stay current with advancements in AI/ML/LLM/GenAI and apply relevant techniques to enterprise solutions.
Required Qualifications
  • 15+ years of overall software/engineering experience.
  • 3–5+ years of hands-on experience building, deploying, and operating production AI/ML systems.
  • Strong hands-on Python development experience.
  • Strong experience with Machine Learning, Deep Learning, NLP, LLMs, and Generative AI.
  • Hands-on experience with OpenAI APIs / GPT models / prompt engineering.
  • Experience with PyTorch, TensorFlow, and/or Scikit-learn.
  • Strong MLOps experience including model deployment, monitoring, lifecycle management, and governance.
  • Experience with AWS, Azure, or Google Cloud Platform.
  • Hands-on experience with Docker, Kubernetes, and microservices.
  • Strong understanding of machine learning and statistical fundamentals.
  • Experience with model optimization and fine-tuning for NLP/GenAI applications.
  • Strong technical leadership, architecture, communication, and mentoring skills.
Preferred Qualifications
  • Financial Services / Banking / Insurance industry experience.
  • Strong experience designing and implementing RAG pipelines.
  • Knowledge of Chain-of-Thought, Tree-of-Thought, and Graph-of-Thought prompting strategies.
  • Experience delivering successful Generative AI/NLP solutions in production.
  • Portfolio demonstrating practical use of OpenAI APIs and prompt engineering.
Education

Bachelor''''s or Master''''s degree in Computer Science, Engineering, or a related technical field preferred.

Important

This is a 100% onsite position in Malvern, PA. Local candidates or candidates within a reasonable commuting distance are strongly preferred.

Qualified candidates are encouraged to apply with an updated resume.

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