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Bachelor's Degree in Computer Science, Information Systems, Business Administration or other related field
AI/ML Developer with 6+ Years of Experience AI/ML, NLP and Gen AI with Python skillset.
Experience with both traditional machine learning algorithms and modern deep learning and generative AI models
Design, develop, and implement machine learning models using Python for data analysis and modeling
AI Services is an enterprise team under AI/ML developing and maintaining capabilities for enterprise document processing - i.e. understanding the document, classifying it into different doc types and extracting information from it.The images submitted by customers to Amex could have various issues that prevents classification, data extraction and other processing necessary to use the information present in the document.For example , the submitted image might be low resolution, blurry , zoomed out, rotated etc. and would lead to deterioration of information extraction.There is a need to pre-process the images before the documents are processed. At a high level - The pre-processing needs to solve for the following1.Identify the issues with the submitted image - for e.x.
> low and high resolution
> Image attributes - Brightness, contrast etc
> noisy images
> Manipulated image
2.Identify the right treatment that is needed to enhance image quality based on the image - for e.x.
> rotation
> alpha and beta correction
> cropping
> Greyscale conversion
3.Determine the order in which the enhancement techniques need to be applied and apply the stepsThe need is to do all these processing at scale while keeping the latency as low as possible.
skills
AI/ ML, NLP
Gen AI
Python
ML Frameworks
Pandas, Numpy
Bachelor's Degree in Computer Science, Information Systems, Business Administration or other related field
AI/ML Developer with 6+ Years of Experience AI/ML, NLP and Gen AI with Python skillset.
Experience with both traditional machine learning algorithms and modern deep learning and generative AI models
Design, develop, and implement machine learning models using Python for data analysis and modeling
AI Services is an enterprise team under AI/ML developing and maintaining capabilities for enterprise document processing - i.e. understanding the document, classifying it into different doc types and extracting information from it.The images submitted by customers to Amex could have various issues that prevents classification, data extraction and other processing necessary to use the information present in the document.For example , the submitted image might be low resolution, blurry , zoomed out, rotated etc. and would lead to deterioration of information extraction.There is a need to pre-process the images before the documents are processed. At a high level - The pre-processing needs to solve for the following1.Identify the issues with the submitted image - for e.x.
> low and high resolution
> Image attributes - Brightness, contrast etc
> noisy images
> Manipulated image
2.Identify the right treatment that is needed to enhance image quality based on the image - for e.x.
> rotation
> alpha and beta correction
> cropping
> Greyscale conversion
3.Determine the order in which the enhancement techniques need to be applied and apply the stepsThe need is to do all these processing at scale while keeping the latency as low as possible.
skills
AI/ ML, NLP
Gen AI
Python
ML Frameworks
Pandas, Numpy
Key job details
About Virtusa
Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.
Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.
Virtusa is an Equal Opportunity Employer. All applicants will receive fair and impartial treatment without regard to race, color, religion, sex, national origin, ancestry, age, legally protected physical or mental disability, protected veteran status, status in the U.S. uniformed services, sexual orientation, gender identity or expression, marital status, genetic information or on any other basis which is protected under applicable federal, state or local law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government-issued ID during each interview. All candidates must be authorized to work in the USA.
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