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Remote Image Processing Engineer Jobs in Arizona

Quora

AI Automation Engineer -Remote

Chandler, AZ · On-site +1

$202K - $234K/yr

... GPT Image 1 and more. As AI capabilities rapidly advance, Poe provides a single platform to ... Use AI as much as possible to automate your own process of creating this software * Collaborate ...

Quora

AI Automation Engineer -Remote

Scottsdale, AZ · On-site +1

$202K - $234K/yr

... GPT Image 1 and more. As AI capabilities rapidly advance, Poe provides a single platform to ... Use AI as much as possible to automate your own process of creating this software * Collaborate ...

Quora

AI Automation Engineer -Remote

Tucson, AZ · On-site +1

$202K - $234K/yr

... GPT Image 1 and more. As AI capabilities rapidly advance, Poe provides a single platform to ... Use AI as much as possible to automate your own process of creating this software * Collaborate ...

Quora

AI Automation Engineer -Remote

Mesa, AZ · On-site +1

$202K - $234K/yr

... GPT Image 1 and more. As AI capabilities rapidly advance, Poe provides a single platform to ... Use AI as much as possible to automate your own process of creating this software * Collaborate ...

Quora

AI Automation Engineer -Remote

Glendale, AZ · On-site +1

$202K - $234K/yr

... GPT Image 1 and more. As AI capabilities rapidly advance, Poe provides a single platform to ... Use AI as much as possible to automate your own process of creating this software * Collaborate ...

Quora

AI Automation Engineer -Remote

Phoenix, AZ · On-site +1

$202K - $234K/yr

... GPT Image 1 and more. As AI capabilities rapidly advance, Poe provides a single platform to ... Use AI as much as possible to automate your own process of creating this software * Collaborate ...

Quora

AI Automation Engineer -Remote

Flagstaff, AZ · On-site +1

$202K - $234K/yr

... GPT Image 1 and more. As AI capabilities rapidly advance, Poe provides a single platform to ... Use AI as much as possible to automate your own process of creating this software * Collaborate ...

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Remote Image Processing Engineer information

What is the difference between Remote Image Processing Engineer vs Remote Computer Vision Engineer?

AspectRemote Image Processing EngineerRemote Computer Vision Engineer
Required CredentialsBachelor's or higher in Computer Science, Electrical Engineering, or related fields; experience with image processing librariesBachelor's or higher in Computer Science, Electrical Engineering, or related fields; experience with computer vision frameworks
Work EnvironmentRemote, often in tech or AI companies focusing on image analysisRemote, typically in AI, robotics, or autonomous systems industries
Employer & Industry UsageTech companies, startups, research labs working on image enhancement, medical imagingTech firms, autonomous vehicle companies, surveillance, robotics

Remote Image Processing Engineers focus on developing algorithms for analyzing and enhancing images, while Remote Computer Vision Engineers work on enabling machines to interpret visual data. Both roles require similar technical skills and often overlap, but the Computer Vision role emphasizes understanding and modeling visual information for AI applications.

What are Remote Image Processing Engineers?

Remote Image Processing Engineers are professionals who design, develop, and implement algorithms and software to analyze, enhance, and manipulate digital images, all while working from a remote location. They often use programming languages like Python, C++, or MATLAB and leverage libraries such as OpenCV or TensorFlow. Their work may involve tasks like object detection, image classification, or medical image analysis. These engineers collaborate with cross-functional teams and ensure that image data is processed efficiently and accurately, often for applications in fields like healthcare, robotics, or entertainment.

What are the key skills and qualifications needed to thrive as a Remote Image Processing Engineer, and why are they important?

To thrive as a Remote Image Processing Engineer, you need a strong background in computer vision, image analysis, and programming languages such as Python or C++, often supported by a degree in computer science or a related field. Familiarity with libraries and frameworks like OpenCV, TensorFlow, and MATLAB, along with experience using version control systems like Git, is typically required. Excellent problem-solving skills, self-motivation, and effective remote communication abilities help set candidates apart. These skills are crucial for developing robust image processing solutions, collaborating efficiently with distributed teams, and meeting project goals in a remote work environment.

How does a Remote Image Processing Engineer typically collaborate with cross-functional teams while working offsite?

Remote Image Processing Engineers often collaborate with data scientists, software developers, and product managers through virtual meetings, code review platforms, and shared documentation. Effective communication and clear documentation are crucial to ensure alignment on project goals, processing algorithms, and integration tasks. Most teams utilize agile methodologies and tools like Slack, Jira, and GitHub to coordinate work and provide timely feedback, making it essential for remote engineers to be proactive and responsive. This collaborative structure helps maintain project momentum despite geographic separation.
What are popular job titles related to Remote Image Processing Engineer jobs in Arizona? For Remote Image Processing Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Remote Image Processing Engineer jobs in Arizona look for? The top searched job categories for Remote Image Processing Engineer jobs in Arizona are:
What cities in Arizona are hiring for Remote Image Processing Engineer jobs? Cities in Arizona with the most Remote Image Processing Engineer job openings:
Remote Image Processing Engineer jobs near you

Principal AI Data Scientist

MSR Technology Group

Phoenix, AZ • Remote

Full-time

Posted 6 days ago

Job description


Infomatics is partnered with a large retailer that is hiring a Principal AI Data Scientist on a direct hire/FTE basis near Phoenix, AZ. Can work remote. All applicants must be eligible & willing to be hired on W2.

You will lead various AI efforts involving computer vision, deep learning, and nlp in addition to other machine learning model builds. You will not only work on large scale projects to provide value to the customers but are also routinely involved in building our internal R&D capability to have an edge in the analytics industry. You will lead some of the most strategic and very complex problems.
Duties/Responsibilities:
  • Builds and validates machine learning models of high risk/reward problems utilizing large scale data from multiple data sources and methodologies.
  • Uses machine learning techniques to create data-driven solutions for various business use-cases.
  • Writes programs utilizing existing libraries and methodologies.
  • Interprets, communicates, and presents analytic results to C-Level executives and below.
  • Consistently collaborates with fellow data scientists, data engineers, business partners, project managers, cross-functional teams, key stakeholders, and other domains to drive business value.
  • Leads AI best practice sharing opportunities and knowledge of industry trends and innovations in data science.
  • Leads projects with external partners and vendors to develop solutions to meet business needs while resolving any issues that may arise.
  • Contributes to the organization's data strategy and roadmap.
  • Embeds and drives the organization with the most up-to-date AI methodology.
Qualifications:
  • Master's or PhD degree in a quantitative field with 5+ years of data science experience.
  • Applied expertise in artificial intelligence with experience applying natural language processing, computer vision (image processing), and deep leaning. Need to have the capability to leverage current mature mainstream AI application tools and methodology
  • Proficiency in machine learning with familiarity and actual applications of scikit-learn library machine learning techniques such as decision tree, gradient boosting, XGBoost, etc. for regression, classification, or segmentation problems.
  • Programming expertise in Python with familiarity with cloud environments (AWS, Databricks, etc.)
  • Ability to work with large data sets from multiple data sources
  • Ability to communicate complex analytics concepts and techniques to C-Level executives and below
  • Ability to work collaboratively with other data scientists, data engineers, multiple stakeholders across the business, and with external partners
  • Intellectual curiosity, a passion for data, and a results orientation.