EMANDAI l\u00e0 m\u1ed9t trong nh\u1eefng \u0111\u01a1n v\u1ecb ti\u00ean phong nghi\u00ean c\u1ee9u tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o \u0111\u1ec3 \u1ee9ng d\u1ee5ng v\u00e0o ho\u1ea1t \u0111\u1ed9ng doanh nghi\u1ec7p. \u0110\u01b0\u1ee3c th\u00e0nh l\u1eadp t\u1eeb n\u0103m 2017 t\u1ea1i \u0110\u00e0 N\u1eb5ng, t\u00ednh \u0111\u1ebfn nay EM&AI \u0111\u00e3 c\u00f3 h\u01a1n 100+ kh\u00e1ch h\u00e0ng v\u00e0 \u0111\u1ed1i t\u00e1c l\u00e0 doanh nghi\u1ec7p v\u1eeba & l\u1edbn t\u1ea1i Vi\u1ec7t Nam. B\u00ean c\u1ea1nh \u0111\u00f3, EM&AI li\u00ean t\u1ee5c g\u1eb7t h\u00e1i \u0111\u01b0\u1ee3c nh\u1eefng gi\u1ea3i th\u01b0\u1edfng l\u1edbn l\u00e0 minh ch\u1ee9ng cho n\u1ec1n t\u1ea3ng c\u00f4ng ngh\u1ec7 hi\u1ec7n \u0111\u1ea1i nh\u01b0: \u00c1 qu\u00e2n Techfest 2020, danh hi\u1ec7u Sao Khu\u00ea 2021.\u00a0<\/p>\n
Hi\u1ec7n EM&AI \u0111ang tuy\u1ec3n d\u1ee5ng K\u1ef9 s\u01b0 AI (Machine Learning\/NLP)\u00a0<\/strong>gia nh\u1eadp v\u00e0o \u0111\u1ed9i ng\u0169 h\u01a1n 30 chuy\u00ean gia v\u00e0 k\u0129 s\u01b0 nghi\u00ean c\u1ee9u v\u1edbi n\u1ec1n t\u1ea3ng l\u1eadp tr\u00ecnh v\u1eefng ch\u1eafc v\u00e0 kinh nghi\u1ec7m th\u1ef1c chi\u1ebfn tham gia v\u00e0o d\u1ef1 \u00e1n c\u1ee7a kh\u00e1ch h\u00e0ng.\u00a0<\/p>\n – \u0110\u1ecba ch\u1ec9 l\u00e0m vi\u1ec7c :<\/strong> T\u1ea7ng 7, T\u00f2a nh\u00e0 \u0110\u01b0\u1eddng Vi\u1ec7t, 30 Nguy\u1ec5n H\u1eefu Th\u1ecd, ph\u01b0\u1eddng H\u00f2a Thu\u1eadn T\u00e2y, qu\u1eadn H\u1ea3i Ch\u00e2u, Tp. \u0110\u00e0 N\u1eb5ng<\/p>\n – Th\u1eddi gian l\u00e0m vi\u1ec7c:<\/strong> 08:00 – 17:30 (Th\u1ee9 2 – Th\u1ee9 6) , 08:00-12:00 (Th\u1ee9 7).<\/p>\n – S\u1ed1 l\u01b0\u1ee3ng tuy\u1ec3n d\u1ee5ng:<\/strong> 01<\/p>\n Contents<\/p> – L\u1eadp tr\u00ecnh Natural Language Processing.<\/p>\n – Tri\u1ec3n khai c\u00e1c thu\u1eadt to\u00e1n \u0111\u01b0\u1ee3c \u0111\u1ec1 xu\u1ea5t b\u1edfi c\u00e1c k\u1ef9 s\u01b0 c\u00f3 kinh nghi\u1ec7m.<\/p>\n – Ph\u00e2n t\u00edch thu\u1eadt to\u00e1n v\u00e0 g\u00f3p \u00fd \u0111\u1ec1 c\u1ea3i thi\u1ec7n c\u00e1c thu\u1eadt to\u00e1n.<\/p>\n – Gi\u1ea3i quy\u1ebft c\u00e1c v\u1ea5n \u0111\u1ec1 li\u00ean quan \u0111\u1ebfn qu\u00e1 tr\u00ecnh implement thu\u1eadt to\u00e1n.<\/p>\n – T\u1ed1t nghi\u1ec7p \u0110\u1ea1i h\u1ecdc ch\u00ednh quy c\u00e1c chuy\u00ean ng\u00e0nh K\u1ef9 thu\u1eadt nh\u01b0 C\u00f4ng ngh\u1ec7 th\u00f4ng tin,<\/p>\n – Khoa h\u1ecdc m\u00e1y t\u00ednh, To\u00e1n \u2013 tin, \u0110i\u1ec7n t\u1eed vi\u1ec5n th\u00f4ng,\u2026<\/p>\n – C\u00f3 t\u1ed1i thi\u1ec3u 02 n\u0103m kinh nghi\u1ec7m v\u1ec1 Machine Learning.<\/p>\n – Tr\u1ea3i nghi\u1ec7m v\u1edbi c\u00e1c thu\u1eadt to\u00e1n Machine Learning (SVM, DNN, RNN,\u2026)<\/p>\n – C\u00f3 kinh nghi\u1ec7m l\u00e0m vi\u1ec7c v\u1edbi c\u00e1c task v\u1ec1 NLP nh\u01b0 Text Classification, Sentiment analysis ho\u1eb7c Name Entity Recognition l\u00e0 m\u1ed9t \u0111i\u1ec3m c\u1ed9ng;<\/p>\n – C\u00f3 kinh nghi\u1ec7m l\u1eadp tr\u00ecnh m\u1ed9t trong c\u00e1c lo\u1ea1i ng\u00f4n ng\u1eef: Python, C\/C++, Java,\u2026<\/p>\n – Bi\u1ebft s\u1eed d\u1ee5ng c\u00e1c th\u01b0 vi\u1ec7n Machine Learning nh\u01b0 Tensorflow, Keras, PyTorch<\/p>\n – Ki\u1ebfn th\u1ee9c t\u1ed1t v\u1ec1 th\u1ed1ng k\u00ea, \u0111\u1ea1i s\u1ed1 tuy\u1ebfn t\u00ednh v\u00e0 thu\u1eadt to\u00e1n<\/p>\n – C\u00f3 k\u1ef9 n\u0103ng t\u1ed1t \u0111\u1ec3 \u0111\u1ecdc hi\u1ec3u c\u00e1c thu\u1eadt to\u00e1n c\u00f3 s\u1eb5n trong c\u00e1c t\u00e0i li\u1ec7u tham kh\u1ea3o (c\u00e1c s\u00e1ch chuy\u00ean ng\u00e0nh v\u00e0 c\u00e1c b\u00e0i b\u00e1o khoa h\u1ecdc).<\/p>\n – C\u00f3 t\u01b0 duy gi\u1ea3i quy\u1ebft v\u1ea5n \u0111\u1ec1 t\u1ed1t.<\/p>\n – C\u00f3 kh\u1ea3 n\u0103ng t\u1ef1 nghi\u00ean c\u1ee9u \u0111\u1ec3 c\u00f3 th\u1ec3 \u0111\u01b0a ra nh\u1eefng thu\u1eadt to\u00e1n kh\u1ea3 thi, t\u1ed1i \u01b0u v\u00e0 m\u1edbi nh\u1eb1m gi\u1ea3i quy\u1ebft nh\u1eefng b\u00e0i to\u00e1n ph\u1ee9c t\u1ea1p.<\/p>\n – L\u01b0\u01a1ng th\u01b0\u1edfng x\u1ee9ng \u0111\u00e1ng v\u1edbi n\u0103ng l\u1ef1c. \u0110\u01b0\u1ee3c \u0111\u00e1nh gi\u00e1 ch\u1ea5t l\u01b0\u1ee3ng, m\u1ee9c \u0111\u1ed9 ho\u00e0n th\u00e0nh c\u00f4ng vi\u1ec7c 2 l\u1ea7n\/ 1 n\u0103m; \u1ee8ng vi\u00ean vui l\u00f2ng g\u1eedi CV \u1ee9ng tuy\u1ec3n & Th\u01b0 xin vi\u1ec7c v\u1ec1 email:<\/p>\n – Email: giang.tran@emandai.net<\/p>\n – Ti\u00eau \u0111\u1ec1: \u1ee8ng tuy\u1ec3n NLP | H\u1ecd & T\u00ean \u1ee9ng vi\u00ean.<\/p>\nM\u00d4 T\u1ea2 C\u00d4NG VI\u1ec6C <\/span><\/h2>\n
Y\u00caU C\u1ea6U C\u00d4NG VI\u1ec6C<\/span><\/h2>\n
QUY\u1ec0N L\u1ee2I<\/span><\/h2>\n
– \u0110\u00f3ng b\u1ea3o hi\u1ec3m theo quy \u0111\u1ecbnh nh\u00e0 n\u01b0\u1edbc, 12 ng\u00e0y ph\u00e9p\/ n\u0103m;
– C\u00f4ng ty t\u1ed5 ch\u1ee9c Team building h\u1eb1ng n\u0103m;
– C\u01a1 h\u1ed9i \u0111\u1ec3 ph\u00e1t tri\u1ec3n nhanh ch\u00f3ng, ch\u00e0o \u0111\u00f3n nh\u1eefng \u00fd t\u01b0\u1edfng m\u1edbi m\u1ebb, s\u00e1ng t\u1ea1o, l\u00e0 n\u01a1i \u0111\u1ec3 th\u1eed nh\u1eefng c\u00e1i m\u1edbi.<\/p>\nC\u00c1CH \u1ee8NG TUY\u1ec2N<\/span><\/h2>\n