Lowongan Kerja Terbaru Telkomsel. Madingloker.com merupakan salah satu situs informasi loker, dimana awal dari situs ini tercipta dari keterbatasannya text untuk caption pada info lowongan kerja yang ada di akun instagram kami. sehingga untuk mengatasi masalah tersebut madingloker diciptakan agar lowongan kerja terbaru dapat di muat tanpa adanya keterbatasan informasi mengenai lowongan kerja. Mading loker berusahaan untuk terus memberikan infromasi lowongan kerja SMA, Lowongan Kerja D3, Lowongan Kerja S1 maupun lowongan kerja BUMN serta Informasi CPNS. Dan semua informasi lowongan kerja yang berada di sini bersumber dari website resmi ataupun akun lain perusahaan.
Lowongan Kerja Terbaru Telkomsel Juni 2020
Telkomsel merupakan perusahaan operator telekomunikasi. Menjadi salah satu perusahaan operator telekomunikasi seluler di Indonesia, telkomsel memiliki banyak pelanggan setia. Perusahaan ini sendiri diresmikan oleh dua perusahaan dari PT. Telekomunikasi Indonesia Tbk (Telkom) dan PT Indosat Tbk (indosat).
Telkomsel kini telah menjadi operator seluler ketujuh di dunia yang memiliki lebih dari 100 juta pelanggan dalam satu negara pada Mei 2011 dan saat ini Telkomsel sedang membuka kesempatan berkarir untuk menempati posisi sebagai berikut :
1. Data Scientist
Requirements :
- Bachelor’s Degree
- Senior (3+ years of experience)
- Very good command of Python and ML stack
- Preferred programming experience: Python & SQL with considerable experience with a wide range of tools including SparkML, H2O, FlinkML, TensorFlow, Pandas, R and Matlab
Job Description :
- Lead and design analytics approach (algorithm selection, architecture design, of tools/techniques).
- Should be comfortable with both mathematical/statistics concepts, and application of techniques.
2. Data Engineer
Requirements :
- Bachelor’s Degree
- 3+ years of experience
- Meaningful experience with at least two of the following technologies: Python, Scala, SQL, Java
- Experience working on projects within the cloud ideally AWS or Azure
Job Description :
- ETL: design, develop, and implement ETL jobs and streaming processes required to ingest and transform data in the cloud environment
- Static data: architect and flood static data models to enable the development of ML and other statistical models,
- Streaming data: design and create data ingestion pipelines to consume external data
- Exploration and feature engineering: assist data scientists in data exploration, data visualization, and feature engineering
- Data assets: participate in data collection, collation, structuring and cleaning. Maintain data quality through statistical control
- Tool development: develop tools that support access, integration, modeling and visualizing of data
3. Machine Learning Engineer
Requirements :
- Bachelor’s Degree
- 3+ years of experience
- Computer science, software engineering background
- Experience in data science / software engineering role, with knowledge of machine learning or statistics.
- Experience with object-oriented or functional programming concepts with good understanding of data structures & algorithms.
- Programming experience with any one of the languages Python, Java, Scala, Go.
- Hands-on experience with version control/integration tools like Git, SVN, Circle CI etc.
- Understanding of distributed systems a big plus.
- Experience with machine learning frameworks – Pandas, Scikit-Learn, Matplotlib, Tensorflow, Pytorch a big plus.
- Practical experience with machine learning methods, such as Linear Regression, Decision Trees, Random Forest, Deep Learning, etc
Job Description :
- Works closely with Data Scientists and Data Engineers to productionize and deploy machine learning models
- Asserts production tasks execute free of interruption and on schedule
- Design and develop various components of machine learning systems in collaboration with data scientists and data engineers
- Work closely with product managers for business requirements and able to turn these requirements to technical design
- Enables model output consumption by the organization by designing and orchestrating production pipeline and front-end integration (e.g., w/ salesforce)
- Works to set the standards for software engineering practices within the machine learning engineering team and support across other disciplines
- Automates and abstracts away different repeatable routines present in most ML tasks (offering templates for ML solution deployment) and find performance improvement in production environment
- Produces high-quality code that allows put solutions into production
- Refactors code into reusable libraries, APIs, and tools
Cara Daftar:
Jika kalian memiliki minat atau ingin bekerja di posisi diatas serta memiliki kualifikasi yang dibutuhkan perusahaan silahkan daftarkan diri kalian dengan cara :
- Pendaftaran dilakukan secara online melalui link berikut ini
Catatan
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