Total 6 Education / Training job vacancies in karang binangun belitang madang raya oku timur

Job Description :

·        Bertanggung jawab atas trial formulasi dan keberhasilan trial

·        Bertanggung jawab atas hasil pengembangan produk

·        Bertanggung jawab terhadap analisis dan pengujian produk trial, produk verifikasi

·        Bertanggung jawab terhadap stabilitas dan kompatibilitas produk trial dan verifikasi

·        Bertanggung jawab atas laporan kegiatan Research & Development

Job Requirements :

·        Pengalaman minimal 2 tahun sebagai Analis Research & Development

·        Pengalaman dalam bidang Adjustmen Colour min 1 tahun

·        Pendidikan minimal D3, S1 Farmasi / Kimia

·        Lebih diutamakan dari perusahaan Kosmetik / Skincare

·        Mahir Microsoft Office (Word, Excel, Power Point)

·        Komunikatif, mampu bekerja secara individu maupun tim

·        Bersedia bekerja sistem shifting

·        Penempatan Tangerang - Cikupa

Job Description :

• Reports to Center Director and Director of Studies or their deputies.
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• Working hours and location: 40 hours per week to be arranged by the Director of Studies. Teachers may be asked to work split shifts (morning and evening) both in the center and off-site.
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• Teach up to 40 academic hours (24 real hours) per week.
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• Carry out the timetable of classes assigned by the Director of Studies
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• Always give lessons to the highest standards of English language teaching
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• Become familiar with the programs and courses of study at the center
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• Use the course materials adopted by the center for each course assigned, and supplement as necessary
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• Begin and end classes on time
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• Administer tests and assessments according to the center’s procedures
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• Prepare lesson plans and have materials ready before classes begin
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• Carry out teaching-related responsibilities, including demonstration lessons and conversation clubs.
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• Maintain student and class records
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• Complete student progress reports and certificates according to the center’s procedures
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• Assist in the placement testing and interviewing of new students
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• Take on administrative work and projects as directed by the Director of Studies
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• Keep equipment and resources in good condition
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• Be familiar with the administrative procedures employed by the center
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• Help to organize and/or participate in center social and marketing events

Requirements:

• Maximum 30 years old with neat appearance.
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• Diploma/Bachelor’s Degree from reputable university.
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• Excellent command of English, both spoken and written.
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• Good interpersonal and communication skills towards students, parents and other colleagues.
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• Experienced in teaching English would be a preference.
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• Experience teaching offline and online classes
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• Have TOEFL score minimum 550 or IELTS minimum 6.5 (optional)
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• Able to commit to a minimum of one year contract

Tugas & Tanggung Jawab

• Melakukan pengujian bahan baku, bahan kemas, dan produk jadi
• Melakukan analisa terhadap hasil pengujian
• Melakukan dokumentasi dan melaporkan hasil pengujian
• Melakukan maintain (Kalibrasi dan pembersihan alat ukur departemen RnD) termasuk lingkup 5R
• Melakukan pengembangan produk kosmetik, formula baru, existing dan product development
• Melakukan breakdown formula yang dibutuhkan untuk notifikasi BPOM RI
• Melakukan scale up formula untuk pengembangan produk baru
• Melakukan pendampingan proses produksi untuk produk baru
• Melakukan dokumentasi dan melaporkan hasil tahap scale up untuk pengembangan formula

Menganalisis tren pasar, kebutuhan konsumen, dan produk kompetitor untuk mengidentifikasi peluang inovasi

Mengembangkan Formulasi

Patuh terhadap Regulasi

Pengajar yang memberikan pemahaman yang komprehensif tentang pembuatan sepatu, sehingga bisa mengembangan ketrampilan yang diperlukan dalam pekerjaan.

Responsibility:

1. Study and transform data science prototypes
2. Design machine learning systems
3. Research and implement appropriate ML algorithms and tools
4. Develop machine learning applications according to requirements
5. Select appropriate datasets and data representation methods
6. Run machine learning tests and experiments
7. Perform statistical analysis and fine-tuning using test results
8. Train and retrain systems when necessary
9. Extend existing ML libraries and frameworks
10. Keep abreast of developments in the field