Machine Learning Engineer
Kredivo Group · Jakarta, ID
Sekilas tentang pekerjaan ini
Kredivo Group mencari Machine Learning Engineer di Jakarta untuk berkolaborasi dengan Data Science dalam mendukung model keuangan, termasuk credit scoring, fraud, dan risk. Posisi ini ditujukan bagi kandidat dengan pengalaman relevan 2–3 tahun serta minimal 1–2 tahun pengalaman langsung menerapkan model machine learning dan feature pipelines.
Tugas utama
- Mengembangkan infrastruktur ML pipeline, termasuk ETL data mentah menjadi fitur model.
- Membangun platform untuk mengotomatisasi pelatihan, pengujian, dan pemeliharaan ML.
- Mengubah prototipe model prediktif menjadi sistem berkinerja tinggi bersama Data Scientists.
- Menjaga kode data science agar mudah dipelihara, diskalakan, dan di-debug.
Kualifikasi utama
- Pengalaman 2–3 tahun di bidang Data atau Software Engineering.
- Pengalaman langsung minimal 1–2 tahun menerapkan model machine learning dan feature pipelines.
- Mampu menulis kode siap produksi dengan Python dan GoLang.
- Menguasai struktur data, pemodelan data, arsitektur software, dan library machine learning.
- Berpengalaman dengan layanan cloud, terutama AWS; familiar dengan Hadoop atau Spark.
Ringkasan ini dibuat dengan AI dari deskripsi di bawah. Yang berlaku adalah deskripsi lengkapnya di situs Kredivo Group.
Deskripsi pekerjaan
At Kredivo we are building the future of financial services that are fast, cheap and widely accessible, wrapped up in a beautiful UX. As we are growing bigger, we are looking for
Machine Learning Engineer
who will closely collaborate with Data Science team in feeding data (across functions such as, credit scoring, fraud, and risk) into financial models defined by data scientists. You will also be responsible to make sure that data science code is maintainable, scalable and debuggable.
Job Responsibility
Develop and implement ML pipeline infrastructure, including but not limited to: ETL (Extract, Transform and Load) of raw data into model features and building platform to automate ML training, testing and maintenance.
Partnering with Data Scientists to transform prototypes of predictive models into high performance, well integrated systems.
Qualifications
2-3 years of relevant experience in Data or Software Engineering and minimum 1-2 years hands-on experience in deploying machine learning models and feature pipelines
Having good knowledge of data structures, data modeling and software architecture related to Machine Learning
Ability to write robust production-ready code in Python & GoLang
High degree of proficiency with RDBMS (i.e. MySQL, PostgreSQL) and No-SQL platforms (i.e. S3)
Proficiency in machine learning libraries such as: Tensorflow/Keras, Pytorch, SparkML or MLeap
Strong interest in building scalable and reliable Machine Learning Engineering/AI related services
Past experience working with cloud services platform to build data pipelines, monitoring, scheduler and storage, preferably on AWS environment.
Familiarity using a distributed computing platform, such as Hadoop or Spark
Thank you for your interest in Kredivo. We’re thrilled that you’d like to join our company. Unfortunately, days are short and applicants are many, so we won’t have time to meet everyone. If you are among qualified candidates, you will receive a call or email from our Talent Acquisition team.
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