Contract Only H1B Summary: Looking for candidates with strong Python-based data science and machine learning experience, along with hands-on expertise in LLMs and agentic AI development on platforms ...
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Contract Only H1B Summary: Looking for candidates with strong Python-based data science and machine learning experience, along with hands-on expertise in LLMs and agentic AI development on platforms ...
Senior Azure Data Engineer
Atlanta, GA · On-site
$61 - $79.50/hr
Greetings from ACI ! Full Time: Accepting H1B Transfers Technical Skills * Expertise in SQL coding ... Spark, PySpark, Apache NiFi, RServer Studio, Alteryx, Azure Machine Learning, Kubernetes, Apache ...
Senior Azure Data Engineer
Atlanta, GA · On-site
$61 - $79.50/hr
Greetings from ACI ! Full Time: Accepting H1B Transfers Technical Skills * Expertise in SQL coding ... Spark, PySpark, Apache NiFi, RServer Studio, Alteryx, Azure Machine Learning, Kubernetes, Apache ...
Java Backend Developer - Entry Level
Albany, GA · On-site
$46.50 - $60.25/hr
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 Full stack candidates For data Science/Machine ...
Java Backend Developer - Entry Level
Albany, GA · On-site
$46.50 - $60.25/hr
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 Full stack candidates For data Science/Machine ...
Nice To Have: Experience with machine learning technologies on Google like Prediction API ... USC/H1B/GC Expenses: All-inclusive Keep the subject line with Job Title and Location
Nice To Have: Experience with machine learning technologies on Google like Prediction API ... USC/H1B/GC Expenses: All-inclusive Keep the subject line with Job Title and Location
H1B Machine Learning information
What are the key skills and qualifications needed to thrive as a Machine Learning Engineer on an H1B visa, and why are they important?
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 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?
| Aspect | H1B Machine Learning | H1B Data Scientist |
|---|---|---|
| Required Credentials | Degree in CS, ML, or related field; certifications like TensorFlow, AWS | Degree in CS, Statistics, or related; certifications in data analysis tools |
| Work Environment | Research labs, tech companies, startups focusing on ML models | Business analytics, data analysis teams, consulting firms |
| Employer & Industry Usage | Tech firms, AI startups, R&D departments | Finance, healthcare, e-commerce, consulting |
| Common Search & Comparison | Yes | Yes |
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 Georgia? For H1B Machine Learning jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching H1B Machine Learning jobs in Georgia look for? The top searched job categories for H1B Machine Learning jobs in Georgia are:
What cities in Georgia are hiring for H1B Machine Learning jobs? Cities in Georgia with the most H1B Machine Learning job openings:
Contractor
Posted 11 days ago
Job description
Role: Data Scientist / AI Engineer (LLM & Agentic AI)
Location: Atalanta, GA
Duration: Contract
Only H1B
Summary:
Looking for candidates with strong Python-based data science and machine learning experience, along with hands-on expertise in LLMs and agentic AI development on platforms like Databricks or Cloudera.
Key Responsibilities
- Build and deploy ML/AI models using Python
- Develop LLM-powered applications (RAG, chatbots, copilots)
- Design agentic AI workflows using tools like LangChain or LlamaIndex
- Work with large-scale data pipelines and distributed systems (Spark/PySpark)
- Integrate LLM APIs (e.g., OpenAI)
Required Skills
- Strong Python + ML/NLP fundamentals
- Experience with Generative AI / LLMs
- Hands-on with Databricks or Cloudera
- Knowledge of RAG, prompt engineering, vector DBs