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Edge Ai Machine Learning Jobs in Texas (NOW HIRING)

Equinix, Inc.

AI/Machine Learning Engineer

Dallas, TX · On-site

... AI/ML engineering, or related roles, with demonstrated experience in building and integrating production-grade systems * Bachelor's degree in Computer Science, Machine Learning, Data Science, or a ...

Confie

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

... AI)/Machine Learning (ML) models Essential Duties & Responsibilities Research, analyze, support, and implement machine learning solutions on the Snowflake Cloud data warehouse platform using the ...

TalentPros.AI

Staff Machine Learning Engineer

Austin, TX

$120K - $550K/yr

... edge research. Our mission is to ensure that AI's benefits reach everyone. We are looking for ... About the Role As a Machine Learning Engineer in our Applied Group, you will have the opportunity ...

Hp

AI Data Scientist - Enterprise AI

Spring, TX

$130K - $205K/yr

AI Data Scientist - Enterprise AI Description - Enterprise Operations Applied AI Organization ... This role sits at the intersection of applied research, machine learning engineering, data science ...

Hp

AI Data Scientist - Enterprise AI

Austin, TX

$130K - $205K/yr

AI Data Scientist - Enterprise AI Description - Enterprise Operations Applied AI Organization ... This role sits at the intersection of applied research, machine learning engineering, data science ...

The Brixton Group

AI LLM Engineer

San Antonio, TX · On-site

The Brixton Group is seeking an AI / Machine Learning Engineer to design, develop, and deploy AI and machine learning solutions. The role involves hands-on ML development, building scalable models ...

Avride

Machine Learning Engineer

Austin, TX

Explore and Apply Cutting-Edge ML Techniques: Stay up to date with advancements in deep learning ... generative AI. * At least three years of experience developing neural network-based algorithms ...

Avride

Machine Learning Engineer

Austin, TX · On-site

... Edge ML Techniques: Stay up to date with advancements in deep learning and experiment with novel ... AI. • At least three years of experience developing neural network-based algorithms, including ...

Quarterhill

Machine Learning Engineer

Frisco, TX · On-site

As part of our AI team, you'll collaborate closely with engineering teams to deliver high-impact ... Drive performance optimization and scalability of ML systems across edge and cloud environments.

HP Development Company, L.P.

Director of AI

Spring, TX · On-site

$174K - $278K/yr

HP is leveraging cutting-edge AI methodologies to unlock transformative value for the company. New ... The HP Enterprise AI & Machine Learning team is at the center of this transformation, driving ...

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Edge Ai Machine Learning information

What is an Edge AI Machine Learning job?

An Edge AI Machine Learning job involves developing and deploying machine learning models directly on edge devices, such as IoT sensors, mobile devices, and embedded systems. This role requires expertise in optimizing AI models for low-power, low-latency environments while ensuring real-time processing. Professionals in this field work with frameworks like TensorFlow Lite, ONNX, and OpenVINO to implement AI solutions efficiently. They must also handle challenges like model compression, hardware acceleration, and data privacy.

What are some typical challenges faced in an Edge AI Machine Learning role, and how can I prepare for them?

One of the most common challenges in Edge AI Machine Learning is optimizing models to run efficiently on hardware with limited resources, while maintaining acceptable accuracy and speed. You may encounter constraints related to memory, processing power, and connectivity, which require creative engineering and a deep understanding of both machine learning and embedded systems. Collaborating closely with hardware engineers, data scientists, and software developers is typical, as solutions often span multiple technical disciplines. To prepare, staying current with advancements in model compression, quantization, and edge deployment technologies will help you tackle these challenges with confidence.

What are the key skills and qualifications needed to thrive in the Edge Ai Machine Learning position, and why are they important?

To thrive as an Edge AI Machine Learning professional, you need a strong background in machine learning algorithms, embedded systems, and proficiency with programming languages such as Python or C++. Familiarity with edge computing platforms (like NVIDIA Jetson, Google Coral), frameworks (TensorFlow Lite, ONNX), and certifications in AI or ML can greatly enhance your qualifications. Strong problem-solving abilities, collaboration, and effective communication skills are important for adapting solutions to diverse environments and working cross-functionally. These abilities enable the successful deployment of efficient and robust AI models directly on devices, meeting the unique challenges of real-time, resource-constrained settings.

What are the most commonly searched types of Edge Ai Machine Learning jobs in Texas? The most popular types of Edge Ai Machine Learning jobs in Texas are:
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Edge Ai Machine Learning jobs near you
Machine Learning & AI Infrastructure Engineer

Machine Learning & AI Infrastructure Engineer

KORE1 Technologies

Houston, TX • On-site

$170K - $190K/yr

Full-time

Re-posted 15 days ago

Job description

KORE1, a nationwide provider of staffing and recruiting solutions, has an immediate opening for a Machine Learning & AI Infrastructure Engineer that is fully remote.
Summary:
We are seeking a Machine Learning & AI Infrastructure Engineer to help design, deploy, and support advanced AI, machine learning, and high-performance computing (HPC) environments. This hands-on technical role will work directly with compute, storage, networking, and containerized infrastructure to deliver scalable, high-performance solutions for enterprise, healthcare, research, and academic organizations.
The ideal candidate is passionate about AI infrastructure, thrives in complex technical environments, and enjoys solving challenging engineering problems while working alongside cross-functional teams.
Key Responsibilities
  • Deploy, administer, and optimize AI and HPC infrastructure environments.
  • Support compute, storage, networking, and container platforms across customer and internal environments.
  • Troubleshoot system performance, reliability, and scalability issues.
  • Assist with infrastructure automation and operational improvements.
  • Collaborate with engineering teams to design and implement modern AI and machine learning platforms.
  • Monitor and maintain infrastructure to ensure high availability and performance.
  • Support customer implementations and ongoing operational needs.

Required Qualifications
  • Strong experience administering HPC bare-metal environments.
  • Experience with NVIDIA Base Command Manager, Bright Cluster Manager, or similar HPC management platforms preferred.
  • Hands-on Kubernetes administration experience, particularly with persistent storage provisioning and CSI integrations.
  • Strong Linux administration skills, preferably Ubuntu.
  • Experience with Bash and/or Python scripting.
  • Strong troubleshooting and systems engineering capabilities.

Preferred Qualifications
  • Experience administering enterprise storage platforms such as Dell PowerScale/Isilon, VAST Storage, NetApp ONTAP, DDN IntelliFlash, or similar technologies.
  • Experience with DDN Exascaler, Lustre, or other parallel file systems.
  • Containerization and container orchestration experience.
  • Familiarity with InfiniBand networking and NVIDIA UFM.
  • Experience supporting enterprise Ethernet networking environments.
  • Exposure to AI, machine learning, or GPU-accelerated computing environments.

What Success Looks Like
  • Reliable deployment and operation of AI and HPC environments.
  • Strong system performance, scalability, and uptime.
  • Effective collaboration with engineering and customer teams.
  • Continuous improvement of infrastructure automation and operational processes.
  • Successful delivery of complex technical solutions supporting advanced AI and research initiatives.

Job Requirements
Compensation depends on experience but is typically $170-190k/year.
ABOUT KORE1
Specializing in professional and technical recruiting, KORE1 is committed to supporting top IT, Engineering, Creative, Scientific, Accounting and Finance professionals in their career paths. We build deep relationships with leading companies, connecting them to exceptional talent every day. With extensive industry expertise and unmatched opportunities, our goal is to provide a unique experience for our contractors and consultants as they prepare for their next role. We are passionate about matching the right people with the right companies.
Kore1 provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Kore1 complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Kore1 expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Kore1's employees to perform their job duties may result in discipline up to and including discharge.

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