ZipRecruiter

Log In

1

Edge Ai Machine Learning Jobs in Texas (NOW HIRING)

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.

Hewlett Packard Enterprise

Director of AI

Spring, TX · On-site

$174.05 - $278.45/hr

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 ...

Hp

Director of AI

Spring, TX

$174K - $305K/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 ...

HP Development Company, L.P.

Director of AI

Spring, TX · On-site

$174K - $305K/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 ...

Marencor

Gen AI/ML Solution Architect

Houston, TX · On-site

$60.25 - $79.25/hr

Machine Learning with MLOps * Convert business problems to solutions Job Summary: We are seeking an ... Implement personalized recommendation engines using cutting-edge frameworks (e.g., Semantic Kernel)

Pivotal Solutions

Senior AI Engineer

Houston, TX · On-site

$99K - $137K/yr

Design, develop, and deploy advanced AI and machine learning models to solve complex business ... Drive innovation by researching and implementing cutting-edge AI techniques, frameworks, and tools ...

Danta Technologies

Gen AI Engineer

Irving, TX · On-site

Key Skills - Agentic AI, Gen AI, AI/ML, Data Science, SQL, Python, Pandas, Deep Learning, Machine Learning, LLM, Data Structures, Bert Transformers, NLP, PyTorch, PySpark. The ideal candidate will ...

Cymertek

Machine Learning Engineer

San Antonio, TX · On-site

In this role, you will work with cutting-edge technologies to design, develop, and deploy machine ... SIMILAR CAREER TITLES Data Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence ...

CBRE

Software Engineer

Richardson, TX · On-site

This includes actively leveraging and building cutting-edge AI/Machine Learning, Data, and predictive analytics technologies to deliver enhanced client solutions, drive operational excellence, and ...

previous page

Showing results 41-60

All JobsEdge Ai Machine Learning JobsEdge Ai Machine Learning Jobs in Texas

Edge Ai Machine Learning information

What is an Edge AI Machine Learning?

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?

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.

How to become an edge AI machine learning engineer?

To become an edge AI machine learning engineer, develop strong skills in machine learning, embedded systems, and programming languages like Python and C++. Gain experience with hardware platforms such as NVIDIA Jetson or Raspberry Pi, and learn to optimize models for low-power, resource-constrained environments. Earning certifications in AI, embedded systems, or IoT can also enhance your qualifications.

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:

What are popular job titles related to Edge Ai Machine Learning jobs in Texas?

For Edge Ai Machine Learning jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Edge Ai Machine Learning jobs in Texas look for?

The top searched job categories for Edge Ai Machine Learning jobs in Texas are:

What cities in Texas are hiring for Edge Ai Machine Learning jobs?

Cities in Texas with the most Edge Ai Machine Learning job openings:

Edge Ai Machine Learning jobs near you
Infographic showing various Edge Ai Machine Learning job openings in Texas as of June 2026, with employment types broken down into 5% Internship, 72% Full Time, 6% Part Time, and 17% Contract. Highlights an 95% In-person, and 5% Remote job distribution.

Machine Learning Engineer

Quarterhill

Frisco, TX • On-site

Full-time

Medical, Dental, Retirement, PTO

Re-posted yesterday

Job description

Overview
Quarterhill is seeking a Machine Learning Engineer to join our forward-thinking team building the next generation of Intelligent Transportation Systems. In this role, you will design, develop, and deploy state-of-the-artcomputer vision and language models that power scalable, real-world solutions. You'll work with large-scale image and video data, building and optimizing production-grade vision systems while contributing clean and modular code to shared repositories.
As part of our AI team, you'll collaborate closely with engineering teams to deliver high-impact features for our growing SaaS platform. The ideal candidate brings hands-on experience deploying computer vision and language models in production and applying MLOps best practices on cloud platforms.
Responsibilities
  • Fine-tune and deploy computer vision and deep learning models for object detection, object tracking, and OCR at scale.
  • Develop vision-language models and Mixture of Experts architectures, from experimental design through production deployment.
  • Architect Retrieval-Augmented Generation (RAG) systems, including vector store design, hybrid search strategies, chunking pipelines, and context relevance evaluation.
  • Apply MLOps best practices for training, evaluation, deployment, and monitoring of production grade computer vision models, with an emphasis on clean, modular, maintainable code.
  • Contribute to our machine learning repositories and optimize models for performance, scalability, and real-time inference across edge and cloud environments.
  • Drive performance optimization and scalability of ML systems across edge and cloud environments.
  • Collaborate with cross-functional teams to integrate computer vision solutions into end-to-end products, translating research outcomes into measurable platform impact.

This list of responsibilities might not cover everything you'll end up doing.
Qualifications
  • 5+ years of hands-on machine learning experience, with deep specialization in computer vision and a proven track record of shipping models to production.
  • Master's degree required (Ph.D. preferred) in Computer Science, Machine Learning, or a closely related field.
  • Extensive knowledge of computer vision architectures such as Vision Transformers and VLMs along with OpenCV and PIL.
  • Experience with MLOps tools (MLflow, Kubeflow, Docker, Kubernetes) able to own the full model lifecycle from experimentation through production monitoring.
  • Experience building and deploying LLM-based systems and Retrieval-Augmented Generation (RAG) pipelines, including vector store integration and retrieval evaluation.
  • Strong communicator who can translate complex research findings into actionable decisions for engineering and product stakeholders.

Benefits
We offer a Total Rewards plan designed with you and your family's health and wellness in mind that includes:
  • Paid days off (i.e. vacation, sick days, bereavement leave)
  • Health and Dental plans
  • Retirement plans
  • Employee and Family Assistance Program (EFAP)
  • Employee referral program

We welcome applicants from all backgrounds, regardless of race, color, religion, sex, veteran status, sexual orientation, gender identity, national origin, age, or disability or any other protected characteristics in accordance with applicable federal, state/provincial, and local laws. We're committed to creating a workplace where everyone feels valued and respected.
We appreciate all responses and will acknowledge only those being considered for an interview.
We respectfully request no calls or unsolicited resumes from Agencies.

Apply