ZipRecruiter

Log In

1

Edge Ai Machine Learning Jobs in Texas (NOW HIRING)

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 ...

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 ...

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 ...

New

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 ...

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 ...

Stackruit Ltd.

Generative AI Engineer

Dallas, TX · On-site

$100 - $130/hr

Design & Deploy Cutting-Edge AI Solutions (US) Help clients envision the future with AI at Lantern ... Machine Learning, OpenAI Service, AI Search, Databricks, SQL Database, Cognitive Services. * Python ...

New

webAI

Senior Machine Learning Engineer

Austin, TX · On-site

$103K - $142K/yr

Job Summary : webAI is seeking a Senior Machine Learning Engineer to support their Public Sector ... Preferred : • Experience with edge AI, federated learning, or offline inference systems. • ...

webAI

Senior Machine Learning Engineer

Austin, TX · On-site

$103K - $142K/yr

Job Summary : webAI is seeking a Senior Machine Learning Engineer to support their Public Sector ... Preferred : • Experience with edge AI, federated learning, or offline inference systems. • ...

webAI

Senior Machine Learning Engineer

Austin, TX · On-site

$103K - $142K/yr

They are seeking a Senior Machine Learning Engineer to transform prototype models into scalable ... Preferred : • Experience with edge AI, federated learning, or offline inference systems. • ...

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.

Director of AI

HP Development Company, L.P.

Spring, TX • On-site

$174K - $305K/yr

Full-time

Medical, Dental, Vision, Life, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Director of AI
Description -
About The Position:
HP is leveraging cutting-edge AI methodologies to unlock transformative value for the company. New digital products enable employees to be more efficient and incorporate agentic intelligence to streamline and optimize critical business processes.
The HP Enterprise AI & Machine Learning team is at the center of this transformation, driving improved business outcomes by developing and deploying new AIML tools and digital products, and using data to drive key insights.
We are looking for a strategic leader and AI practitioner to lead our AI data science teams. The new Director of AI will be responsible for all aspects of AI model development from scoping through deployment, and will work closely with product, data, and business partners to identify opportunities and define and deliver AI-based solutions.
Key Responsibilities:
  • Lead, coach, and grow teams of customer-focused data scientists.
  • Build and staff a portfolio of high-impact AI projects that deliver clear value for the company
  • Envision, drive, and deliver innovative AI-based models and products that drive significant improvements in revenue, profitability, and operating costs.
  • Build effective partnerships with technical and product leaders and business stakeholders.
  • Partner closely with Product Management, Technical Program Managers, Architects, HP product groups, and experts to envision, drive, and deliver innovative, compelling, and quality solutions at speed and scale.
  • Evangelize and teach AI concepts and best practices to business teams across HP

Experience and Skills Required:
  • MS and/or PhD related to AI, machine learning, and/or statistical modeling
  • 10+ years of experience with modeling and analytics, including GenAI
  • 5+ years of leadership experience
  • Strong communication and influence skills
  • Experience with digital product design and process transformation are a plus.

Performance and Personal Competencies Required
  • Results Focus: The successful candidate must be able to deliver results in the organization. He/she will be well versed in performance management and accountability and be a strong partner to other technical leads and business stakeholders.
  • Strategic Thinking: Demonstrates the ability to accurately see the current state, to identify potential future risks and opportunities, to envision and evaluate relevant future possibilities. Demonstrated ability to define and implement technical strategies.
  • Learning Agility and Intellect: The ideal candidate will be able to dive into the details of the business while staying focused on the big picture. The candidate will be able to translate business challenges into technical problems and formulate and drive solutions.
  • Collaboration and Communication: The candidate must be able to build and sustain excellent relationships at multiple levels in the workplace. Executive communication and influencing skills required.

The pay range for this role is $174,050 to $305,450 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience.
Benefits:
HP offers a comprehensive benefits package for this position, including:
  • Health insurance
  • Dental insurance
  • Vision insurance
  • Long term/short term disability insurance
  • Employee assistance program
  • Flexible spending account
  • Life insurance
  • Generous time off policies, including;
  • 4-12 weeks fully paid parental leave based on tenure
  • 11 paid holidays
  • Additional flexible paid vacation and sick leave (US benefits overview)

The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.
Job -
Software
Schedule -
Full time
Shift -
No shift premium (United States of America)
Travel -
Relocation -
Equal Opportunity Employer (EEO) -
HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal"

Apply