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Senior Computer Vision Jobs in Dallas, TX (NOW HIRING)

SuperMom's LLC

Senior Director, Enterprise AI

Irving, TX · On-site

$150 - $200/hr

Senior Director, Enterprise AISkip to main contentThis website stores cookies on your computer ... Enable edge and real-time AI and computer vision for in-store decisioning where latency and ...

Tiger Analytics Inc.

Senior AI Engineer

Dallas, TX · On-site

$103K - $142K/yr

Experience with natural language processing (NLP) or computer vision applications. * Knowledge of MLOps principles and tools. * Familiarity with version control systems (e.g., Git) and Agile ...

Tiger Analytics Inc.

Senior AI Engineer

Dallas, TX · On-site

$103K - $142K/yr

Experience with natural language processing (NLP) or computer vision applications. * Knowledge of MLOps principles and tools. * Familiarity with version control systems (e.g., Git) and Agile ...

Wise Skulls

Sr. AI Technology Architect

Irving, TX · On-site

Title: Sr. AI Technology Architect Location: Irving, TX and Charlotte, NC Duration: 6 months ... NLP, computer vision, graph ML, and forecasting domains. • Architect Edge AI solutions for low ...

Resolve Tech Solutions

Senior ML Engineer

Addison, TX · On-site

$101K - $138K/yr

Resolve Tech Solutions is seeking a Senior ML Engineer to develop machine learning models and ... computer vision (CV) techniques. • Experience with continuous integration and continuous ...

Accenture

Senior Data Scientist

Dallas, TX · On-site

... Senior Data Scientist AI capabilities. The ideal candidate combines technical depth, business ... Build natural language processing and computer vision solutions for document intelligence ...

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Showing results 21-40

All JobsComputer Vision JobsSenior Computer Vision JobsSenior Computer Vision Jobs in Dallas, TX

Senior Computer Vision information

See Dallas, TX salary details

$24.7K

$79.4K

$161.7K

How much do senior computer vision jobs pay per year?

As of Aug 15, 2026, the average yearly pay for senior computer vision in Dallas, TX is $79,423.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,100.00 and $101,900.00 per year, depending on experience, location, and employer.

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

To thrive as a Senior Computer Vision Engineer, you need deep expertise in computer vision algorithms, machine learning, and a strong background in mathematics or computer science, usually supported by an advanced degree. Mastery of programming languages like Python or C++, and experience with frameworks such as OpenCV, TensorFlow, or PyTorch, as well as familiarity with cloud platforms and GPU computing, are typically required. Strong problem-solving abilities, effective communication, and the ability to collaborate across interdisciplinary teams are vital soft skills. These competencies are crucial for developing innovative vision solutions, ensuring project success, and translating complex technical concepts for diverse stakeholders.

What does a senior computer vision engineer do?

A Senior Computer Vision Engineer designs and implements algorithms that enable computers to interpret and process visual data from the world, such as images and videos. They work on tasks like object detection, image classification, and facial recognition, often using machine learning and deep learning techniques. Senior-level professionals also lead projects, mentor junior engineers, and help integrate computer vision solutions into products or services. Their expertise is critical in industries like autonomous vehicles, healthcare, robotics, and security.

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

Senior Computer Vision Engineers frequently encounter challenges such as ensuring model robustness under real-world conditions, optimizing inference speed for large-scale deployments, and managing diverse data quality issues. Additionally, integrating computer vision models into existing software systems often requires close collaboration with backend engineers and DevOps teams to maintain reliable, scalable pipelines. Addressing these obstacles typically involves rigorous testing, ongoing model monitoring, and iterative improvement to ensure accuracy and performance in dynamic environments.

What are the most commonly searched types of Computer Vision jobs in Dallas, TX?

The most popular types of Computer Vision jobs in Dallas, TX are:

What are popular job titles related to Senior Computer Vision jobs in Dallas, TX?

For Senior Computer Vision jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Senior Computer Vision jobs in Dallas, TX look for?

The top searched job categories for Senior Computer Vision jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Senior Computer Vision jobs?

Cities near Dallas, TX with the most Senior Computer Vision job openings:

Senior Computer Vision jobs near you
Infographic showing various Senior Computer Vision job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $79,423 per year, or $38.2 per hour.

Senior Data Scientist

Bright Vision Technologies

Flower Mound, TX • Remote

$180K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: Senior Data Scientist
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $160,000–$180,000 Annually
Experience Required: 6+ years
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.
Job Summary:
We are seeking an accomplished Senior Data Scientist to design, develop, deploy, and optimize enterprise-grade data science and machine learning solutions that support strategic business initiatives across multiple domains. In this role, you will be responsible for the complete data science lifecycle, from translating business problems into analytical solutions and developing predictive models to deploying machine learning pipelines, monitoring model performance, and supporting data-driven decision-making throughout the operational lifecycle. The successful candidate will bring deep expertise in statistical analysis, machine learning, predictive modeling, and data engineering, combined with strong hands-on experience working with large-scale structured and unstructured datasets using modern analytics platforms and cloud technologies. You will work closely with business stakeholders, data engineers, software developers, product managers, and cross-functional teams in an Agile environment to deliver scalable, accurate, and impactful data science solutions that directly support strategic business outcomes.
Required Qualifications
  • Bachelor\'s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Artificial Intelligence, or a closely related quantitative discipline.
  • Five or more years of professional experience developing production-grade machine learning models, predictive analytics solutions, and enterprise data science applications.
  • Strong, demonstrable understanding of statistics, probability, machine learning algorithms, data structures, data modeling, feature engineering, model evaluation techniques, and end-to-end machine learning lifecycle principles.
  • Advanced working knowledge of Python, R, SQL, Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy, and modern data science libraries for building scalable analytical solutions.
  • Hands-on, production-level experience designing, training, validating, deploying, and monitoring machine learning models, including regression, classification, clustering, forecasting, recommendation systems, and natural language processing applications.
  • Proven experience working with relational and NoSQL databases, large-scale datasets, data warehouses, and distributed data processing platforms such as Spark, Hadoop, Snowflake, Databricks, or BigQuery.
  • Strong SQL skills and meaningful experience performing data exploration, feature engineering, query optimization, ETL development, data visualization, and business intelligence reporting using enterprise data platforms.
  • Solid experience with Git-based version control workflows, CI/CD processes, MLOps practices, model deployment pipelines, code review processes, and collaborative software development methodologies.
  • Hands-on experience deploying machine learning solutions on at least one major cloud platform (AWS, Azure, or GCP), including managed AI/ML services, storage, networking, and identity management capabilities.
  • Strong debugging, analytical thinking, problem-solving, and root-cause analysis skills, with the discipline to investigate complex data challenges methodically, communicate findings effectively, and translate analytical insights into actionable business recommendations.

Preferred Qualifications
  • Experience designing and deploying real-time machine learning systems, recommendation engines, streaming analytics, event-driven architectures, or large-scale AI applications using Kafka, Spark Streaming, or equivalent technologies.
  • Familiarity with containerization and orchestration using Docker, Kubernetes, Kubeflow, MLflow, Airflow, or equivalent platforms for production machine learning operations.
  • Exposure to advanced artificial intelligence concepts such as deep learning, reinforcement learning, computer vision, generative AI, large language models (LLMs), explainable AI (XAI), model fairness, and responsible AI practices.
  • Experience implementing automated testing, model monitoring, feature stores, experiment tracking, data governance, MLOps best practices, and continuous machine learning delivery pipelines within enterprise Agile software development environments.

How to Apply
Would you like to know more about this opportunity? For immediate consideration, please send your resume to Harry@bvteck.com or contact us at (908)676-4399. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees\' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

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