3 Aws Comprehend Jobs

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3.0 - 5.0 years

0 Lacs

india

On-site

Job Description Job Description We are seeking a highly motivated and experienced Automation & AI Developer to join our team, focusing on pioneering solutions within the HR IT domain. This critical role will be instrumental in designing, developing, and deploying intelligent automation and AI-powered applications that enhance efficiency, improve decision-making, and create a superior employee experience. You will leverage cutting-edge technologies to transform HR processes, from talent acquisition to employee engagement, with a strong emphasis on building robust and scalable automated workflows and integrating AI capabilities. This position offers a unique opportunity to shape the future of ...

Posted 2 weeks ago

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15.0 - 17.0 years

0 Lacs

bengaluru, karnataka, india

Remote

Req ID: 341155 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a AWS Sr Data Engineer to join our team in Bangalore or Remote, Karn?taka (IN-KA), India (IN). Position Location: OUS with minimum of 6 hrs. overlap with US timings. Project Overview (If Possible): It's one of the workstreams of Project Acuity. PASD Data Platform includes centralized web application for internal PASD users across the Recruitment Business to support marketing and operational use cases. Building a database at the patient level will provide si...

Posted 1 month ago

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10.0 - 18.0 years

0 Lacs

indore, madhya pradesh

On-site

You should possess a BTech degree in computer science, engineering, or a related field of study, or have 12+ years of related work experience. Additionally, you should have at least 7 years of design and implementation experience with large-scale data-centric distributed applications. It is essential to have professional experience in architecting and operating cloud-based solutions, with a good understanding of core disciplines such as compute, networking, storage, security, and databases. A strong grasp of data engineering concepts like storage, governance, cataloging, data quality, and data modeling is required. Familiarity with various architecture patterns like data lake, data lake hous...

Posted 3 months ago

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