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Á¦¸ñ [Expert] AI¼¾ÅÍ AI Product Data Engineer (AI¼¾ÅÍ) Á¶È¸¼ö 292
ä¿ë±â°ü SKÅÚ·¹ÄÞ ÇÐÀ§±¸ºÐ ¼®¡¤¹Ú»ç
ºÐ¾ß AI ¸ðÁý±â°£(¸¶°¨ÀÏ) 2019.10.06
÷ºÎÆÄÀÏ µî·ÏÀÏ 2019.09.11

* SKÅÚ·¹ÄÞ AI¼¾ÅÍÀÇ Data Machine Intelligence GroupÀº SKT ³»/¿ÜºÎ µ¥ÀÌÅ͸¦ ¹ÙÅÁÀ¸·Î AI°ü·Ã ¼­ºñ½º¸¦ °³¹ßÇÏ°í ÀÖÀ¸¸ç AI Product Engineering ÆÀÀº µ¥ÀÌÅ͸¦ È¿°úÀûÀ¸·Î ºÐ¼®ÇÏ°í ´Ù¾çÇÑ AI±â¹Ý ¼­ºñ½º¿¡ ¿¬°áÇÒ ¼ö ÀÖ´Â Big Data/AI Platform °³¹ßÇÏ°í ÀÖ½À´Ï´Ù.

-¸ðµç ÆÀ¿øÀÌ Á÷Á¢ Äڵ带 Â¥°í ÄÚµå·Î Ä¿¹Â´ÏÄÉÀ̼ÇÀ» Çϸç

¾Æ·¡´Â AI Product Engineering ÆÀ¿¡¼­ »ç¿ëÇÏ´Â ±â¼ú°ú ÀÎÇÁ¶ó ȯ°æÀÔ´Ï´Ù.

Hive as data warehouse, Spark for distributed processing, Kafka as a messaging system.

S3, Dynamo db, Azure Blob, Google Cloud Storage to expose data.

Sbt for compilation and dependency management.

RDS for access to relational databases, HDFS, S3 as a distributed storage system.

YARN and Kubernetes as cluster orchestration system.

Airflow as a process manager, Gitlab-CI as a continuous integration manager.

Baremetal, AWS, Azure, GCP as infra.

 

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-Python(strongly preferred), Scala, SQL, Hadoop, Docker »ç¿ë °æÇè(¿ì´ë)

-Spark, Hive, Kafka, Airflow, Gitlab-CI »ç¿ë °æÇè(¿ì´ë)

 

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https://tas-sktelecom.taleo.net/careersection/ex/jobdetail.ftl

 

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