Job details
Work Location
Alpharetta, GA, Austin, TX, Houston, TX, Phoenix, AZ, Raleigh, NC, Richardson, TX, Tempe, AZ
Country
USA
State / Region / Province
Arizona, Georgia, North Carolina, Texas
Domain
Delivery
Interest Group
Infosys Limited
Skills
Domain(IBPO)|Analytics- Data science|Statistical Tools, Technology|Artificial Intelligence|Artificial Intelligence – ALL, Technology|Data Science|Machine Learning
Company
ITL USA
Requisition ID
129422BR
Job description
Infosys is seeking a Gen AI engineer with machine learning and Python experience. You will work on productionizing E2E Gen AI solutions, Agentic AI frameworks, machine learning models and guide development team for implementing end to end machine learning use case. They will define end to end architecture of Data Science and machine learning project along with being the technology architect. The candidate will provide technology consulting for defining right Generative AI, Agentic AI, Data Science and ML use cases.
Basic Qualification :
Required:
The job entails an extensive amount of travel. The job also entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face.
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise and ideas from our innovation ecosystem.
Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.
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