Machine Learning Visa Sponsorship Jobs in Texas
Texas is one of the most active states for machine learning hiring, with major employers including Google, Meta, Amazon, and Dell Technologies operating across Austin, Dallas, and Houston. The state's fast-growing tech corridor and energy sector create consistent demand for ML engineers and researchers who need visa sponsorship.
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Get Access To All JobsINTRODUCTION
Hi We have an urgent role of Senior AI/ML Developer.
ABOUT THE JOB
Senior AI/ML Developer
Full Time
Irving, TX (Hybrid 4 days a week)
ROLE AND RESPONSIBILITIES
70% – Hands-On AI Development & Engineering
- Design, build, and deploy scalable AI/ML solutions (predictive models, generative AI, NLP, optimization, automation)
- Architect production-ready pipelines from data ingestion through model monitoring
- Develop and fine-tune LLM-based applications (RAG architectures, prompt engineering, agents, copilots)
- Write high-quality, production-grade code (Python required; additional languages a plus)
- Implement MLOps best practices (CI/CD, model versioning, monitoring, drift detection)
- Work across cloud platforms (Azure, AWS, or GCP) to deploy secure, enterprise-grade solutions
- Ensure governance, security, explainability, and responsible AI principles are embedded in every solution
- Optimize performance, scalability, and cost-efficiency of AI workloads
30% – Business Partnership & Solution Leadership
- Translate ambiguous business problems into structured AI solution designs
- Partner with business stakeholders (Finance, Operations, Sales, Marketing, IT) to identify high-value use cases
- Clearly explain AI concepts, tradeoffs, and model outputs to non-technical audiences
- Lead solution design workshops and whiteboarding sessions
- Quantify expected ROI and define measurable success metrics
- Influence prioritization of AI initiatives based on business value and feasibility
- Mentor junior developers and help elevate AI literacy across the organization
What Success Looks Like
- AI solutions deployed into production that generate measurable business impact
- Reduced time-to-value from idea to implementation
- Business leaders who trust and understand the AI solutions being delivered
- Scalable architecture that enables repeatable AI delivery across functions
BASIC QUALIFICATIONS
- 7+ years of software development experience
- 3+ years building and deploying machine learning or AI solutions in production
- Strong proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
- Experience with LLM ecosystems (OpenAI APIs, Hugging Face, LangChain, vector databases)
- Solid understanding of data engineering fundamentals
- Experience with cloud-native AI deployment (Azure ML, AWS SageMaker, Vertex AI, etc.)
- Ability to communicate complex technical ideas clearly and confidently
- Demonstrated experience working directly with business stakeholders
PREFERRED QUALIFICATIONS
- Experience implementing enterprise-scale AI governance frameworks
- Background in analytics, optimization, or decision intelligence
- Experience designing AI copilots or intelligent automation solutions
- MBA or strong business acumen
- Experience in regulated or complex operational environments
COMPETENCIES
- Builder mindset with production discipline
- Systems thinker who designs for scale
- Commercially oriented technologist
- Comfortable in ambiguity
- Strong executive communication skills
INTRODUCTION
Hi We have an urgent role of Senior AI/ML Developer.
ABOUT THE JOB
Senior AI/ML Developer
Full Time
Irving, TX (Hybrid 4 days a week)
ROLE AND RESPONSIBILITIES
70% – Hands-On AI Development & Engineering
- Design, build, and deploy scalable AI/ML solutions (predictive models, generative AI, NLP, optimization, automation)
- Architect production-ready pipelines from data ingestion through model monitoring
- Develop and fine-tune LLM-based applications (RAG architectures, prompt engineering, agents, copilots)
- Write high-quality, production-grade code (Python required; additional languages a plus)
- Implement MLOps best practices (CI/CD, model versioning, monitoring, drift detection)
- Work across cloud platforms (Azure, AWS, or GCP) to deploy secure, enterprise-grade solutions
- Ensure governance, security, explainability, and responsible AI principles are embedded in every solution
- Optimize performance, scalability, and cost-efficiency of AI workloads
30% – Business Partnership & Solution Leadership
- Translate ambiguous business problems into structured AI solution designs
- Partner with business stakeholders (Finance, Operations, Sales, Marketing, IT) to identify high-value use cases
- Clearly explain AI concepts, tradeoffs, and model outputs to non-technical audiences
- Lead solution design workshops and whiteboarding sessions
- Quantify expected ROI and define measurable success metrics
- Influence prioritization of AI initiatives based on business value and feasibility
- Mentor junior developers and help elevate AI literacy across the organization
What Success Looks Like
- AI solutions deployed into production that generate measurable business impact
- Reduced time-to-value from idea to implementation
- Business leaders who trust and understand the AI solutions being delivered
- Scalable architecture that enables repeatable AI delivery across functions
BASIC QUALIFICATIONS
- 7+ years of software development experience
- 3+ years building and deploying machine learning or AI solutions in production
- Strong proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
- Experience with LLM ecosystems (OpenAI APIs, Hugging Face, LangChain, vector databases)
- Solid understanding of data engineering fundamentals
- Experience with cloud-native AI deployment (Azure ML, AWS SageMaker, Vertex AI, etc.)
- Ability to communicate complex technical ideas clearly and confidently
- Demonstrated experience working directly with business stakeholders
PREFERRED QUALIFICATIONS
- Experience implementing enterprise-scale AI governance frameworks
- Background in analytics, optimization, or decision intelligence
- Experience designing AI copilots or intelligent automation solutions
- MBA or strong business acumen
- Experience in regulated or complex operational environments
COMPETENCIES
- Builder mindset with production discipline
- Systems thinker who designs for scale
- Commercially oriented technologist
- Comfortable in ambiguity
- Strong executive communication skills
Machine Learning Job Roles in Texas
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Search Machine Learning Jobs in TexasMachine Learning Jobs in Texas: Frequently Asked Questions
Which companies sponsor visas for machine learning roles in Texas?
Several large employers in Texas have established records of sponsoring work visas for machine learning talent. These include Google and Meta in Austin, AT&T and Goldman Sachs in Dallas, and ExxonMobil and Schlumberger in Houston, which apply ML to energy data problems. Large defense contractors such as Raytheon and Lockheed Martin also hire ML engineers in the Dallas-Fort Worth area, though some roles require U.S. citizenship.
Which visa types are most common for machine learning jobs in Texas?
The H-1B is the most common visa category for machine learning roles in Texas, as ML engineer and data scientist positions consistently qualify as specialty occupations requiring at least a bachelor's degree in computer science, statistics, or a related field. Candidates with extraordinary ability may pursue the O-1A. Australians working in ML may qualify for the E-3 visa, and Canadian and Mexican nationals may explore TN status under the USMCA mathematician or computer systems analyst categories.
Which cities in Texas have the most machine learning sponsorship jobs?
Austin concentrates the largest share of ML sponsorship opportunities in Texas, driven by a dense cluster of tech companies and the presence of UT Austin's strong computer science program. Dallas-Fort Worth is a close second, with significant activity in financial services, telecom, and defense. Houston adds meaningful volume through energy-sector applications of ML, particularly in predictive maintenance, seismic analysis, and supply chain optimization.
How to find machine learning visa sponsorship jobs in Texas?
Migrate Mate is built specifically for international job seekers and filters machine learning roles in Texas by visa sponsorship status, so you're only seeing employers actively open to sponsoring. You can filter by city, visa type, and role to narrow results quickly. Because ML is a high-demand field in Texas, new sponsored positions are posted regularly across Austin, Dallas, and Houston, making it worth checking Migrate Mate consistently rather than in a single session.
Are there any Texas-specific considerations for machine learning visa sponsorship?
Texas has no state income tax, which affects prevailing wage comparisons under H-1B Labor Condition Applications since take-home pay differs from states with income tax. The Department of Labor sets prevailing wages by metropolitan area, so rates in Austin, Dallas, and Houston each differ. UT Austin, Rice University, and Texas A&M produce significant ML research talent, meaning local university hiring pipelines are active and some roles are tied to research lab positions that carry their own visa sponsorship structures.
What is the prevailing wage for sponsored machine learning jobs in Texas?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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