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Computer Vision Engineer Jobs in Frisco, TX (NOW HIRING)

Hiring Alert | Generative AI Engineer Location: Irving, TX (Onsite) Employment Type: Full-Time ... Implement advanced deep learning, NLP, computer vision, and Generative AI techniques * Evaluate AI ...

New

... for computer vision and IRAS-based item recognition systems Implement data and model monitoring ... Engineering 3. CI/CD 4. Experience with MLOps-driven data science outcomes and handling ML ...

Computer Vision basics - working knowledge of image processing and computer vision techniques ... Software engineering practices - proficiency with Git/GitHub, JIRA, issue tracking; ability to ...

Our approach emphasizes unique computer vision applications, retrofitting AI into existing ... We are looking for a Full Stack Developer with experience in AI, large language models (LLMs), and ...

Understand how LLMs, computer vision, and MLops can enhance model checking, metadata extraction, and design to engineering workflows. * Partner with data and software teams to integrate AI ...

Support computer vision and AI-related automation initiatives, including pilots and trials ... Industrial Engineering, Systems Engineering or Mechanical Engineering is preferred. * 4 years of ...

Support computer vision and AI-related automation initiatives, including pilots and trials ... Industrial Engineering, Systems Engineering or Mechanical Engineering is preferred. * 4 years of ...

The AI Engineer is responsible for the most technically demanding work - advanced algorithms ... Develop numerical optimization, forecasting, computer vision, and anomaly detection capabilities in ...

The Project Engineer will support multiple strategic and tactical projects related to parcel ... Support computer vision and AI-related automation initiatives, including pilots and trials ...

Support computer vision and AI-related automation initiatives, including pilots and trials ... Industrial, System Engineering or Mechanical Engineering is preferred. * 2 years of work experience ...

Senior ML Engineer

Addison, TX

$101K - $138K/yr

Collaborate with data scientists and software engineers to design and implement scalable and ... Experience with natural language processing (NLP) or computer vision (CV) techniques. Experience ...

Showing results 41-60

Computer Vision Engineer information

See Frisco, TX salary details

$45.4K

$113.7K

$128.7K

How much do computer vision engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for computer vision engineer in Frisco, TX is $113,731.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,400.00 and $123,100.00 per year, depending on experience, location, and employer.

What is a computer vision engineer?

Computer Vision Engineers are professionals who develop algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They work on tasks like object detection, facial recognition, image segmentation, and more, often using machine learning and deep learning techniques. These engineers apply their expertise in fields like robotics, autonomous vehicles, healthcare, and augmented reality, turning raw visual data into actionable insights.

What is the difference between Computer Vision Engineer vs Machine Learning Engineer?

AspectComputer Vision EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of image processing and computer vision librariesBachelor's or Master's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentDevelops algorithms for image/video analysis, object detection, and recognition in tech, automotive, or healthcare industriesBuilds models for various data types, including text, images, and structured data across multiple sectors
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, e-commerce, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Engineers specialize in developing algorithms for visual data, whereas Machine Learning Engineers work on broader data modeling across various data types. The roles often overlap but differ mainly in focus and application areas.

What are the key skills and qualifications needed to thrive as a computer vision engineer, and why are they important?

To thrive as a Computer Vision Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with image processing algorithms. Familiarity with tools and frameworks such as OpenCV, TensorFlow, PyTorch, and proficiency in programming languages like Python or C++ is essential, along with knowledge of deep learning techniques. Analytical thinking, creativity, and effective communication are standout soft skills for this role. These skills and qualities are crucial for developing innovative vision solutions, interpreting complex data, and collaborating efficiently within interdisciplinary teams.

What does a computer vision engineer do?

Computer vision is a branch of artificial intelligence that attempts to replicate human analytical processes by using algorithms and computer models to understand and identify patterns in images. As a computer vision engineer, you use software to handle the processing and analysis of large data populations, and your efforts support the automation of predictive decision-making efforts. Your responsibilities involve research, programming, data analysis, and user interface design. You may work on a variety of exciting development projects like self-driving cars, mobile devices, innovative features and capabilities in sports and entertainment, and the next generation of social media enhancements.

What are some common challenges faced by computer vision engineers when deploying models to production environments?

Computer Vision Engineers often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing models for efficiency on edge devices, and handling large-scale data processing. Deploying models to production requires balancing performance with resource constraints and addressing issues like latency, scalability, and data privacy. Collaborating closely with software engineers and data scientists is crucial to integrate solutions effectively and continuously monitor and improve model performance in live applications.

What are popular job titles related to Computer Vision Engineer jobs in Frisco, TX?

For Computer Vision Engineer jobs in Frisco, TX, the most frequently searched job titles are:

What job categories do people searching Computer Vision Engineer jobs in Frisco, TX look for?

The top searched job categories for Computer Vision Engineer jobs in Frisco, TX are:

What cities near Frisco, TX are hiring for Computer Vision Engineer jobs?

Cities near Frisco, TX with the most Computer Vision Engineer job openings:

Infographic showing various Computer Vision Engineer job openings in Frisco, TX as of August 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 100% In-person job distribution, with an average salary of $113,731 per year, or $54.7 per hour.

Generative AI Engineer

Northern Base

Irving, TX โ€ข On-site

Full-time

Posted 2 days ago

New


Job description

Hiring Alert | Generative AI Engineer

Location: Irving, TX (Onsite)
Employment Type: Full-Time
Experience Required: 6+ Years
Visa Type: USC / GC Only

Interview Mode: In-person (Final Round)

Must-Have Skills:

  • Python Programming with Major ML Libraries
  • Open-Source Generative AI LLMs, including Llama and Dolly
  • Machine Learning, NLP & Deep Learning
  • Neural Networks & Transformer Architectures
  • Generative AI Techniques
  • GANs & Text-to-Image Generation
  • Text Generation Models
  • SQL & Data Wrangling
  • Data Cleaning & Feature Engineering
  • Model Training, Evaluation & Optimization
  • AWS, Azure, or GCP Experience

Key Responsibilities:

  • Design, develop, and implement advanced AI solutions for complex business problems
  • Collaborate with engineers, researchers, and product managers to translate business requirements into AI solutions
  • Gather, clean, and prepare high-quality data for model training and evaluation
  • Implement advanced deep learning, NLP, computer vision, and Generative AI techniques
  • Evaluate AI model architectures and hyperparameters for performance optimization
  • Address model bias and support responsible AI development

Good-to-Have:

  • On-premises and cloud development experience
  • CI/CD experience
  • Experience with state-of-the-art AI/ML techniques
  • Strong understanding of ethical AI and responsible model development

Education:

  • Bachelor's Degree in Computer Science or related field