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H1B Machine Learning Jobs in Atlanta, GA (NOW HIRING)

ACI Infotech

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 ...

TecTammina

Google Cloud Lead

Atlanta, GA

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

McKesson

Manager, Data Analytics

Atlanta, GA

Help shape our AI strategy by identifying where AI and machine learning can add real value, and ... g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future. If you will ...

McKesson

Manager, Data Analytics

Atlanta, GA

Help shape our AI strategy by identifying where AI and machine learning can add real value, and ... g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future. If you will ...

MCKESSON

Manager, Data Analytics

Atlanta, GA · On-site

Help shape our AI strategy by identifying where AI and machine learning can add real value, and ... g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future. If you will ...

All JobsH1B Machine Learning JobsH1B Machine Learning Jobs in Atlanta, GA

H1B Machine Learning information

See Atlanta, GA salary details

$24.5K

$41K

$84.6K

How much do h1b machine learning jobs pay per year?

As of Aug 14, 2026, the average yearly pay for h1b machine learning in Atlanta, GA is $40,951.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,300.00 and $44,200.00 per year, depending on experience, location, and employer.

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 Atlanta, GA?

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

What job categories do people searching H1B Machine Learning jobs in Atlanta, GA look for?

The top searched job categories for H1B Machine Learning jobs in Atlanta, GA are:

H1B Machine Learning jobs near you
Infographic showing various H1B Machine Learning job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $40,951 per year, or $19.7 per hour.

Data Scientist with Gen AI

Altitude Technology Solutions Inc

Atlanta, GA • On-site

Other

Posted 2 days ago

New

Job description

Hope you are doing well,
 
Gen AI Data Scientist
Atlanta GA Local
Contract 1-2 yrs
 
Visa : H1b, EAD
 
Required Skill
  • Core: Data Science, Machine Learning, Deep Learning, Generative AI
  • Programming: Python, SQL
  • GenAI: LLMs, Prompt Engineering, RAG, Embeddings, Vector Databases, Fine-tuning
  • Frameworks: LangChain/LangGraph, PyTorch/TensorFlow, Scikit-learn
  • NLP: NLP, Transformers, BERT/GPT-based models
  • Cloud: AWS/Azure/Google Cloud Platform
  • Data: Spark, Databricks, Snowflake preferred
  • MLOps: MLflow, Docker, Kubernetes, CI/CD
  • Preferred: Palantir Foundry/AIP if this is the same type of requirement as a recent Atlanta posting, where Palantir was listed as mandatory
 
 
Job Description
We are seeking an experienced Gen AI Data Scientist with strong expertise in Generative AI, Machine Learning, NLP, LLMs, and Data Science. The ideal candidate will design, develop, and deploy AI/ML solutions using modern GenAI technologies and work closely with business and technical teams.
Key Responsibilities
  • Develop and deploy Generative AI and Machine Learning models for business applications.
  • Build LLM-based applications, including RAG (Retrieval-Augmented Generation) solutions.
  • Develop prompt engineering strategies and evaluate LLM responses.
  • Work with OpenAI, Azure OpenAI, AWS Bedrock, or Google Vertex AI.
  • Build AI pipelines using Python, SQL, PyTorch/TensorFlow, and Scikit-learn.
  • Implement vector databases, embeddings, semantic search, and knowledge retrieval.
  • Use frameworks such as LangChain, LangGraph, or LlamaIndex.
  • Perform data preprocessing, feature engineering, model training, validation, and optimization.
  • Deploy models using Docker, Kubernetes, and cloud platforms.
  • Implement MLOps practices using MLflow and CI/CD pipelines.
  • Collaborate with Data Engineers, ML Engineers, Software Engineers, and business stakeholders.
  • Monitor model performance, accuracy, scalability, and responsible AI practices.
Required Skills
  • 12+ years of experience in Data Science / Machine Learning
  • Strong Python and SQL
  • Hands-on Generative AI / LLM experience
  • Experience with RAG, embeddings, vector databases, and prompt engineering
  • Strong NLP and Deep Learning knowledge
  • Experience with PyTorch or TensorFlow
  • Experience with LangChain/LangGraph/LlamaIndex
  • Cloud experience with AWS, Azure, or Google Cloud Platform
  • Experience with MLflow, Docker, Kubernetes, and CI/CD
  • Strong communication and problem-solving skills
  • Must be local to Atlanta, GA or able to work onsite/hybrid
Nice to Have
  • Experience with Databricks, Snowflake, Apache Spark
  • Experience with Fine-tuning / PEFT / LoRA
  • Experience with Agentic AI and AI Agents
  • Experience with MCP (Model Context Protocol)
  • Experience with Computer Vision
  • Experience in enterprise production GenAI implementations.
 
 
Regards
Ravi Sharma

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