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Machine Learning Qa Jobs in Texas (NOW HIRING)

Quality Assurance Technician Department/Location: HoustonProduction Facility Reports To: Houston ... Ensure plant safety rules are followed including safe lifting practices and safe machine operation.

Performs analysis of products with the Food Scan Machine (FOSS), pH meter, colorimeter, Brix, Bostwick Titratable Acidity and documents all results and notifies the QA Team if a test if out of spec.

Performs analysis of products with the Food Scan Machine (FOSS), pH meter, colorimeter, Brix, Bostwick Titratable Acidity and documents all results and notifies the QA Team if a test if out of spec.

Houston Quality Assurance Lead FLSA Status: Non-Exempt COMPANY: Headquartered in Orlando, FL ... Ensure plant safety rules are followed including safe lifting practices and safe machine operation.

The Machine Learning (ML) Developer is the first dedicated ML Development role in the department ... Enforce data and feature quality, schema validation, and data versioning so models train and infer ...

The Machine Learning (ML) Developer is the first dedicated ML Development role in the department ... Enforce data and feature quality, schema validation, and data versioning so models train and infer ...

The Quality Inspector reports directly to the QA Manager This position does not supervise any ... May work around and on machinery, using various kinds of machine and hand tools. Work environment ...

The Quality Inspector reports directly to the QA Manager This position does not supervise any ... May work around and on machinery, using various kinds of machine and hand tools. Work environment ...

The Quality Inspector reports directly to the QA Manager This position does not supervise any ... May work around and on machinery, using various kinds of machine and hand tools. Work environment ...

QA Lead

Irving, TX ยท On-site

$100K - $120K/yr

Ongoing learning and development programs WHAT YOU'LL DO: * Define and execute end-to-end QA strategy across functional, integration, system, UAT, performance, and automation testing. * Build and ...

As a Machine Learning Engineer II at 7-Eleven, you will collaborate with cross-functional teams and ... Strong ownership mindset and commitment to delivering high-quality solutions. * Ability to ...

Showing results 41-60

Machine Learning Qa information

What is a machine learning QA?

A Machine Learning QA (Quality Assurance) professional is responsible for testing and validating machine learning models to ensure accuracy, reliability, and performance. They design test cases, create automated testing pipelines, and identify biases or errors in datasets and model outputs. Their role bridges software testing and data science, ensuring that ML systems function correctly in production.

What does a machine learning QA do?

A Machine Learning QA professional is primarily responsible for designing, implementing, and executing test plans to ensure the quality and performance of machine learning models and their integration into software products. This often involves developing automated tests, validating dataset integrity, monitoring model outputs, and collaborating closely with data scientists and developers to resolve issues. Additionally, you may participate in code reviews, maintain testing documentation, and contribute to continuous improvement of testing processes. The role is collaborative and requires balancing technical rigor with practical problem-solving to help deliver robust AI-powered applications.

What skills and qualifications are needed for a machine learning QA?

Success as a Machine Learning QA requires a solid understanding of software testing principles, machine learning concepts, and programming skills, typically supported by a degree in computer science or a related field. Familiarity with tools like Python, TensorFlow or PyTorch, and QA automation frameworks, as well as relevant certifications in software testing or ML, are often advantageous. Strong analytical thinking, attention to detail, and effective communication are standout soft skills in this role. These competencies are essential for ensuring machine learning models function as intended, meet quality standards, and integrate smoothly into production environments.

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

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

Infographic showing various Machine Learning Qa job openings in Texas as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 73% Full Time, 18% Part Time, 2% Temporary, and 5% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.

Machine Learning Engineer

Austin, TX โ€ข On-site

Adidev Technologies Inc
IT Servicesย โ€ขย 11 - 50 employees

Other

Re-posted 29 days ago


Job description

Role: Jr-Mid Machine Learning Engineer

(This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.)

Summary

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients.

About Adidev Technologies Inc.

Adidev Technologies,(www.adidevtechnologies.com) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company โ€“ we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation.

Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience.

Global Presence: Our diverse employee workforce spans four continents.

Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA.

How We'll Guide You

Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients.

Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success.

Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients.

Career Growth: We facilitate industry experience to propel your technical journey forward.

Key Responsibilities
  • Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions.
  • Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring.
  • Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions.
  • Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences.
  • Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement.
  • Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency.
  • Conduct exploratory data analysis to extract valuable insights and influence strategic decisions.
  • Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks.
  • Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices.
Requirements
  • Degree in Computer Science, Engineering, Statistics, or a related technical field.
  • Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains.
  • Demonstrable experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings.
  • Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems.
  • Strong foundational understanding of algorithmic complexity and data structure optimization.
  • Excellent problem-solving, collaboration, and communication abilities.
  • Develop and implement cutting-edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI.
  • Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions.
  • Stay ahead of AI research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects.
  • Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
  • Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with handsโ€‘on experience in cloud-based ML services and serverless architectures.
  • Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices.
  • Facilitate knowledge sharing and best practices in AI/ML, particularly focusing on Generative AI, within the team.
  • Ensure all AI implementations are compliant with ethical guidelines and data privacy standards.
Perks and Beyond!
  • Competitive salary range: Based on experience and market value
  • Pack your bags! Paid relocation is on us.
  • Support, even from afar, with our remote assistance.
  • Regular salary reviews? You betcha!
Ready to Embark?

we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth.

Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

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