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Learning Ai Jobs in Georgetown, TX (NOW HIRING)

webAI

Director of Applied AI

Austin, TX · On-site

Every leader in this company is hands-on. • 8+ years of experience in applied machine learning, AI engineering, or related fields, with at least 3 years in a leadership role. • Proven track ...

webAI Inc

Director of Applied AI

Austin, TX · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

Strong expertise with LLMs, generative AI, machine learning workflows. * Hands-on experience building or integrating AI systems for customer-facing applications. * Proficiency in Python and modern ML ...

Kake Group

Senior AI Talent Sourcer

Austin, TX · Remote

Identify, engage, and nurture specialized talent including AI trainers, evaluators, machine learning engineers, research engineers, AI researchers, domain experts, and other specialists contributing ...

Roku

Senior Machine Learning Engineer

Austin, TX

$121K - $160K/yr

We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems, and Auction Dynamics to solve a large set of complex problems. At the core of this is our Machine Learning ...

webAI Inc

Senior Forward Deployed AI Engineer

Austin, TX · On-site

$103K - $142K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

We are seeking a Senior Forward Deployed AI Engineer to support our Public Sector initiatives ... This role sits at the intersection of machine learning, systems engineering, and deployment ...

webAI Inc

Senior Forward Deployed AI Engineer

Austin, TX · On-site

$103K - $142K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

We are seeking a Senior Forward Deployed AI Engineer to support our Public Sector initiatives ... This role sits at the intersection of machine learning, systems engineering, and deployment ...

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All JobsLearning Ai JobsLearning Ai Jobs in Georgetown, TX

Learning Ai information

See Georgetown, TX salary details

$25

$37

$64

How much do learning ai jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for learning ai in Georgetown, TX is $37.81, according to ZipRecruiter salary data. Most workers in this role earn between $27.45 and $49.13 per hour, depending on experience, location, and employer.

What is a learning AI?

A Learning AI, or Artificial Intelligence that learns, refers to computer systems that can improve their performance over time by analyzing data and experiences. These systems use techniques such as machine learning and deep learning to adapt to new information, recognize patterns, and make predictions or decisions without being explicitly programmed for every task. Learning AI is used in many applications, including recommendation engines, language translation, and autonomous vehicles. As technology advances, Learning AI continues to play a crucial role in automating complex tasks and enhancing decision-making processes.

How do I start a career in learning ai?

To start a career in learning AI, develop a strong foundation in mathematics, programming (especially Python), and machine learning concepts. Gaining hands-on experience through projects, online courses, and certifications such as those from Coursera or edX can help build relevant skills and demonstrate your knowledge to employers.

Is learning AI a good career path?

Learning AI can be a strong career choice due to high demand for skills in machine learning, data analysis, and programming languages like Python. Careers in AI often require continuous learning, strong problem-solving skills, and familiarity with tools such as TensorFlow or PyTorch. The field offers opportunities across industries including technology, healthcare, finance, and automotive sectors.

What is the difference between Learning Ai vs Data Scientist?

AspectLearning AiData Scientist
Required CredentialsTypically a degree in Computer Science, AI, or related fields; certifications in AI/MLDegree in Computer Science, Statistics, or related fields; certifications in data analysis or ML
Work EnvironmentTech companies, AI startups, research labs focusing on AI developmentBusiness environments, analyzing data to inform decisions across industries
Employer & Industry UsagePrimarily in AI development, research, and product creationAcross finance, healthcare, marketing, and other sectors for data analysis

Learning Ai focuses on developing algorithms and models that enable machines to learn and improve autonomously, often involving deep learning and neural networks. Data Scientists analyze and interpret complex data to help organizations make informed decisions. While both roles require knowledge of machine learning, Learning Ai is more centered on creating AI systems, whereas Data Scientists focus on extracting insights from data.

How do learning AI professionals typically collaborate with subject matter experts to develop effective training solutions?

Learning AI professionals frequently work alongside subject matter experts (SMEs) to ensure that AI-driven training tools and content are accurate, relevant, and engaging. This collaboration often involves regular meetings to gather domain-specific knowledge, iterative review of training modules, and feedback sessions to fine-tune AI models for optimal learning outcomes. Clear communication and a strong partnership with SMEs are essential, as they help bridge technical AI capabilities with real-world educational needs, resulting in more impactful and user-friendly learning solutions.

What are the key skills and qualifications needed to thrive as a learning AI engineer?

To thrive as a Learning AI Engineer, you need a solid background in computer science, mathematics, and machine learning, often supported by a relevant degree or certification. Familiarity with programming languages like Python, machine learning libraries (such as TensorFlow or PyTorch), and cloud computing platforms is typically required. Strong problem-solving skills, adaptability, and effective communication set outstanding professionals apart in this field. These skills are crucial for building, deploying, and refining AI models that solve real-world problems efficiently and ethically.

What are popular job titles related to Learning Ai jobs in Georgetown, TX?

For Learning Ai jobs in Georgetown, TX, the most frequently searched job titles are:

What job categories do people searching Learning Ai jobs in Georgetown, TX look for?

The top searched job categories for Learning Ai jobs in Georgetown, TX are:

What cities near Georgetown, TX are hiring for Learning Ai jobs?

Cities near Georgetown, TX with the most Learning Ai job openings:

Learning Ai jobs near you
Infographic showing various Learning Ai job openings in Georgetown, TX as of July 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $78,649 per year, or $37.8 per hour.

Machine Learning & AI Infrastructure Engineer

Kforce Technology Staffing

Austin, TX • On-site

$175K - $200K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Job description

RESPONSIBILITIES:
Kforce has a client in Austin, TX that is seeking a Machine Learning & AI Infrastructure Engineer. This is not a traditional AI Engineer or Data Scientist role. The hiring team is specifically seeking a unique blend of: HPC Administrator + Kubernetes Administrator + AI Infrastructure Operations Engineer. Candidates who have owned, operated, supported, and troubleshot production AI or HPC environments will be the strongest fit. Experience administering and maintaining systems is significantly more important than architecture-only experience.
Responsibilities:
* Administer and support AI and HPC cluster environments
* Manage day-to-day operations of large-scale compute infrastructure
* Deploy, maintain, and troubleshoot Kubernetes-based platforms
* Ensure reliability, performance, and scalability across compute, storage, and networking environments
* Support AI model training and inference infrastructure
* Automate operational processes through scripting and tooling
* Partner with engineering teams and customers to optimize platform performance
* Troubleshoot complex infrastructure, networking, storage, and containerization issues
* Support both internal platforms and customer-facing environments
Why Consider This Opportunity?
* 100% Remote Environment
* Exposure to cutting-edge AI, GenAI, and HPC technologies
* Flat organizational structure with minimal bureaucracy
* Direct impact on strategic technology initiatives
* Opportunity to work on platforms that support healthcare, research, drug discovery, and other meaningful AI-driven innovations
* High visibility and collaboration with industry-leading technical teams
Compensation & Benefits:
* Base Salary: $175,000 - $200,000+
* Annual Bonus: Typically 10%-15%
* Medical, Dental, and Vision Coverage
* 401(k)
* Additional performance-based incentives
REQUIREMENTS:
* Strong experience administering High Performance Computing (HPC) environments
* Experience with AI cluster administration and infrastructure operations
* Hands-on Kubernetes administration experience in on-premises environments
* Experience provisioning and managing PV/PVC storage through Kubernetes CSI drivers
* Strong Linux administration skills, specifically Ubuntu
* Scripting experience with Bash and/or Python
* Proven troubleshooting and operational support experience
* Ability to manage and maintain production infrastructure environments
Experience with one or more of the following:
* Dell PowerScale/Isilon
* VAST Storage
* NetApp ONTAP
* DDN IntelliFlash
* DDN Exascaler
* Lustre Parallel File Systems
Successful candidates may come from organizations focused on:
* AI Infrastructure
* Machine Learning Platforms
* HPC Operations
* Research Computing
* Biotechnology
* Academic Medical Centers
* Digital Biology
* Financial Services AI Platforms
* Automotive AI Initiatives
* Large-Scale Data Science Environments
Preferred:
* NVIDIA ecosystem experience
* NVIDIA Base Command Manager (BCM)
* Bright Cluster Manager
* MLOps platform exposure
* Containerization technologies and orchestration platforms
* High-performance networking experience
* RDMA technologies
* InfiniBand networking
* NVIDIA UFM
* Parallel file system administration
* Storage Technologies (highly desired)
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.

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