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Pattern Recognition Jobs (NOW HIRING)

... Pattern Recognition • Imaging Specific AI/ML • Real-Time Image Augmentation • The software being used currently is C/C++. • Required - expertise and working knowledge in designing software ...

Ability to recognize fabric defects and color inconsistencies * Skilled in pattern matching for plaids, stripes, and repeats * Basic computer skills, including data entry and Microsoft Office Nice to ...

Pattern Maker Location: 897 Lancaster Pike, Quarryville, PA 17566-9714 Work Hours: 6:00 AM to 2:30 ... recognized by law, and then maintained in a manner consistent with all applicable laws and ...

Provide expert knowledge of EEG pattern recognition * Must adhere to HIPAA regulations, Company Confidentiality and Code of Conduct * Perform other duties as assigned Job Overview: The EEG Pruning ...

Key Accountabilities Design, develop, and maintain anomaly detection and pattern recognition systems across large-scale healthcare and operational datasets, using techniques such as clustering ...

... pattern recognition etc.) • Strong experience in Text Mining, NLP - Natural Language Processing • Hands on experience on model development lifecycle • Strong hands on experience on R, Python ...

Design, develop, and maintain anomaly detection and pattern recognition systems across large-scale healthcare and operational datasets, using techniques such as clustering, classification, time ...

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Pattern Recognition information

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$33.5K

$77.4K

$126K

How much do pattern recognition jobs pay per year?

As of Sep 11, 2026, the average yearly pay for pattern recognition in the United States is $77,376.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,000.00 and $86,000.00 per year, depending on experience, location, and employer.

What is a pattern recognition?

A Pattern Recognition job involves developing algorithms and techniques to identify regularities, structures, or trends in data. Professionals in this field work with machine learning, statistical analysis, and computer vision to recognize patterns in images, text, speech, or other datasets. These roles are common in industries such as artificial intelligence, cybersecurity, healthcare, and finance. Skills in programming, mathematics, and data science are essential for success in this field.

What are typical day-to-day responsibilities for someone working in pattern recognition?

Professionals in pattern recognition typically spend their days developing and testing algorithms, analyzing large data sets for underlying patterns, and collaborating with colleagues such as data scientists, engineers, and business analysts. They may also preprocess data, select features, and validate the accuracy of their models, continually refining their approaches based on real-world results. Communication is an important aspect, as they often need to present findings and actionable insights to both technical and non-technical stakeholders. Working in this field provides opportunities to contribute directly to solving real-world problems in areas like image analysis, fraud detection, and natural language processing.

What are the key skills and qualifications needed to thrive in the pattern recognition position, and why are they important?

Succeeding in the field of pattern recognition requires a strong background in mathematics, statistics, and computer science, often supported by a degree in a related field such as data science, engineering, or artificial intelligence. Familiarity with programming languages like Python or R, machine learning libraries (such as TensorFlow or scikit-learn), and relevant certifications in data analysis or machine learning are highly beneficial. Analytical thinking, attention to detail, and effective problem-solving abilities help you excel in interpreting complex data sets and identifying trends. Mastering these skills is vital for developing accurate models and extracting actionable insights from large volumes of information.

Is pattern recognition a rare skill?

Pattern recognition is a valuable skill in many fields, including roles like data analysis and machine learning, where identifying trends and anomalies is essential. While not extremely rare, it requires practice and often involves training in related tools such as statistical methods or programming languages like Python or MATLAB.
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What other helpful pages are available for Pattern Recognition?

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Infographic showing various Pattern Recognition job openings in the United States as of September 2026, with employment types broken down into 93% Full Time, 2% Part Time, and 5% Contract. Highlights an 72% In-person, 4% Hybrid, and 24% Remote job distribution, with an average salary of $77,376 per year, or $37.2 per hour.

Software Architect

San Mateo, CA • On-site

RIT Solutions, Inc.
Recruiting and Staffing Services • 201 - 500 employees

Full-time

Re-posted 9 days ago


Job description

Job Summary:
RIT Solutions, Inc. is seeking a Software Architect to lead AI, ML, and Deep Learning initiatives for a heart medical device product. The role focuses on designing software architecture for image analysis and real-time image augmentation, aiming to bring the product to a production version.
Responsibilities:
• Software AI, ML, and Deep Learning initiatives for heart medical device product.
• Goal to take product to a production version.
• 4 Keys to the role in terms of candidate's knowledge, focus, and day-to-day project work:
• Image Analysis
• Image Pattern Recognition
• Imaging Specific AI/ML
• Real-Time Image Augmentation
• The software being used currently is C/C++.
• Required - expertise and working knowledge in designing software architecture to analyze life stream images with augmentation/graphical overlay.
• Background in AI/ML and image pattern recognition would be very helpful.
• Image Analysis Software knowledge such as Python, Matlab, OpenCV, ImageJ, or other.
• Image Processing, Video Capture, or Processing with C/C++, Python, Java, or JavaScript.
• With Algorithms implemented on one of the above.
• Image pattern recognition software such as Python, AIorNot, or other may be used, and the consultant will be expected to bring in knowledge to help guide the project.
• TensorFlow or PyTorch would be helpful.
• Use of algorithms for problem-solving or Deep Learning.
• For real-time image augmentation, above tools or software may be used.
• Must have 10 years +/- experience, be an expert, and have a BSCS, MSCS, PhD, or equivalent degree.
• Report to sr. level executives up to CEO level.
Qualifications:
Required:
• Software AI, ML, and Deep Learning initiatives for heart medical device product.
• Goal to take product to a production version.
• Image Analysis
• Image Pattern Recognition
• Imaging Specific AI/ML
• Real-Time Image Augmentation
• The software being used currently is C/C++.
• Expertise and working knowledge in designing software architecture to analyze life stream images with augmentation/graphical overlay.
• Background in AI/ML and image pattern recognition.
• Image Analysis Software knowledge such as Python, Matlab, OpenCV, ImageJ, or other.
• Image Processing, Video Capture, or Processing with C/C++, Python, Java, or JavaScript.
• With Algorithms implemented on one of the above.
• Image pattern recognition software such as Python, AIorNot, or other may be used, and the consultant will be expected to bring in knowledge to help guide the project.
• TensorFlow or PyTorch would be helpful.
• Use of algorithms for problem-solving or Deep Learning.
• For real-time image augmentation, above tools or software may be used.
• Must have 10 years +/- experience, be an expert, and have a BSCS, MSCS, PhD, or equivalent degree.
• Report to sr. level executives up to CEO level.
Company:
Jobdiva Job Portal: https://www1.jobdiva.com/candidates/myjobs/searchjobsdone.jsp?a=xbjdnwgjodtga1y1im2g881fkkeiwd0775lbvq8yqgps8vb2q36w2vj1ga6xxork&compid=-1 Recruitment (contingency search and campus selection). Founded in 2019, the company is headquartered in Arlington, USA, with a team of 201-500 employees. The company is currently Growth Stage.