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 NLP INTERN\/FRESHER <\/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 – Th\u00f4ng tin v\u1ec1 s\u1ea3n ph\u1ea9m & D\u1ecbch v\u1ee5<\/strong> EM&AI:\u00a0http:\/\/emandai.net\/<\/a><\/p>\n – Link tr\u1ea3i nghi\u1ec7m s\u1ea3n ph\u1ea9m Voicebot:<\/strong> https:\/\/bit.ly\/3jKNNi0<\/p>\n 4 L\u00dd DO \u0110\u1ec2 GIA NH\u1eacP C\u00d4NG TY<\/strong><\/p>\n – L\u01b0\u01a1ng, Th\u01b0\u1edfng x\u1ee9ng \u0111\u00e1ng<\/p>\n – \u1ee8ng d\u1ee5ng C\u00f4ng Ngh\u1ec7 m\u1edbi h\u00e0ng \u0111\u1ea7u Th\u1ebf Gi\u1edbi<\/p>\n – C\u01a1 h\u1ed9i tham gia v\u00e0o qu\u00e1 tr\u00ecnh ph\u00e1t tri\u1ec3n s\u1ea3n ph\u1ea9m, \u1ee9ng d\u1ee5ng c\u00f4ng ngh\u1ec7 AI<\/p>\n – M\u00f4i tr\u01b0\u1eddng Chuy\u00ean Nghi\u1ec7p, N\u0103ng \u0110\u1ed9ng, Tr\u1ebb Trung<\/p>\n Contents<\/p> – L\u1eadp tr\u00ecnh Natural Language Processing (NLP).<\/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 – \u0110\u00e3 t\u1ed1t nghi\u1ec7p ho\u1eb7c \u0111ang l\u00e0 sinh vi\u00ean n\u0103m cu\u1ed1i c\u1ee7a c\u00e1c tr\u01b0\u1eddng \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, Khoa h\u1ecdc m\u00e1y t\u00ednh, To\u00e1n \u2013 tin, \u0110i\u1ec7n t\u1eed vi\u1ec5n th\u00f4ng,\u2026<\/p>\n – C\u00f3 k\u1ef9 n\u0103ng l\u1eadp tr\u00ecnh t\u1ed1t (\u01b0u ti\u00ean \u1ee9ng vi\u00ean c\u00f3 kinh nghi\u1ec7m v\u1edbi Python).<\/p>\n – C\u00f3 ki\u1ebfn th\u1ee9c v\u1ec1 c\u00e1c thu\u1eadt to\u00e1n Machine Learning nh\u01b0 Decision Tree, Logistic Regression, SVM, DNN\u2026\u00a0 \u00a0 \u00a0 \u00a0\u00a0<\/p>\n – C\u00f3 kinh nghi\u1ec7m l\u00e0m vi\u1ec7c\/ Y\u00eau th\u00edch 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 k\u1ef9 n\u0103ng l\u00e0m vi\u1ec7c v\u1edbi Regular Expression l\u00e0 m\u1ed9t \u0111i\u1ec3m c\u1ed9ng.<\/p>\n – C\u00f3 ki\u1ebfn th\u1ee9c v\u1ec1 X\u1eed l\u00fd T\u00edn hi\u1ec7u \u00c2m thanh l\u00e0 m\u1ed9t \u0111i\u1ec3m c\u1ed9ng.<\/p>\n – Bi\u1ebft s\u1eed d\u1ee5ng m\u1ed9t trong c\u00e1c th\u01b0 vi\u1ec7n Machine Learning nh\u01b0 Scikit-learn, Tensorflow, PyTorch\u2026 l\u00e0 m\u1ed9t \u0111i\u1ec3m c\u1ed9ng\u00a0\u00a0\u00a0\u00a0<\/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 v\u00e0 t\u01b0 duy ph\u1ea3n bi\u1ec7n 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 h\u1ea5p d\u1eabn x\u1ee9ng \u0111\u00e1ng v\u1edbi hi\u1ec7u qu\u1ea3 c\u00f4ng vi\u1ec7c.<\/p>\n – M\u1ee9c l\u01b0\u01a1ng th\u1ecfa thu\u1eadn d\u1ef1a theo n\u0103ng l\u1ef1c kinh nghi\u1ec7m.<\/p>\n – \u0110\u00e1nh gi\u00e1 hi\u1ec7u qu\u1ea3 l\u00e0m vi\u1ec7c: 2 l\u1ea7n\/n\u0103m.<\/p>\n – Tham gia b\u1ea3o hi\u1ec3m \u0111\u1ea7y \u0111\u1ee7: B\u1ea3o hi\u1ec3m x\u00e3 h\u1ed9i, b\u1ea3o hi\u1ec3m y t\u1ebf, b\u1ea3o hi\u1ec3m th\u1ea5t nghi\u1ec7p theo quy \u0111\u1ecbnh<\/p>\n – Ng\u00e0y ph\u00e9p: 12 ng\u00e0y\/n\u0103m (Ngo\u00e0i c\u00e1c ng\u00e0y ngh\u1ec9 l\u1ec5 theo l\u1ecbch nh\u00e0 n\u01b0\u1edbc), team building,..<\/p>\n – C\u00f3 ch\u00ednh s\u00e1ch t\u00e0i tr\u1ee3 c\u00e1c kh\u00f3a \u0111\u00e0o t\u1ea1o n\u00e2ng tr\u00ecnh \u0111\u1ed9 chuy\u00ean m\u00f4n cho nh\u00e2n vi\u00ean, c\u00e1c b\u1ea1n th\u1ef1c t\u1eadp<\/p>\n – \u0110\u01b0\u1ee3c \u0111\u00e0o t\u1ea1o, ti\u1ebfp c\u1eadn v\u1edbi nh\u1eefng c\u00f4ng ngh\u1ec7 v\u00e0 c\u00f4ng c\u1ee5 ti\u00ean ti\u1ebfn h\u00e0ng \u0111\u1ea7u th\u1ebf gi\u1edbi.<\/p>\n \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 INTERN\/FRESHER | 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
C\u00c1CH \u1ee8NG TUY\u1ec2N<\/span><\/h2>\n