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Machine Learning Engineer (MLE)
Nomura Research Institute Indonesia
- Jakarta Pusat, Indonesia11/Unit F, Karet Tengsin Kel., Tanah Abang, Jakarta Pusat, DKI Jakarta, IndonesiaJakarta PusatDKI JakartaIndonesiaIndonesiaTELECOMMUTE
- Rp 12.000.000,00 - Rp 24.000.000,00 / bulanIDR120000002400000012000000MONTH
- Penuh waktuFULL_TIME
Lowongan dipasang 5 months ago dan batas waktu lamaran adalah 21 Feb
Rekruter terakhir aktif 11 hours ago
2024-02-27T07:53:47.002153+00:002025-02-21T17:00:00+00:00Deskripsi Pekerjaan
A Machine Learning Engineer trains, validates and evaluates machine learning and deep learning models which perform predictive tasks in various domains such as computer vision, natural language understanding and time-series analysis. Some examples include visual recognition models, activity detection using sensor data and demand forecasting.
- Translate and refine business goals into appropriate machine learning objectives.
- Design and implement ML/DL solutions and integrate them with various Big Data platforms and architectures.
- Create and maintain ML pipelines that are scalable, robust, and ready for production.
- Collaborate with domain experts, software developers, and data scientists.
- Troubleshoot ML/DL model issues, including recommendations for retrain, re-validate, and improvements/optimization.
Kualifikasi Minimum
Requirements:
- Hands-on experience in building ML models deployed into real-world business applications or research.
- Working knowledge of ML/DL algorithms (classification, regression, clustering, hyperparameter tuning, etc).
- Proficiency with Python and libraries for machine learning such as scikit-learn and pandas.
- Good understanding of Deep learning frameworks such as Tensorflow, Keras, PyTorch, MXNet, etc.
- Experience in using computer vision libraries such as OpenCV, PIL.
Preferred:
- Experience working with cloud services platform (AWS or GCP) to build ML/DL pipelines.
- Experience in multi-GPU model training with CUDA.
- Experience in ML experiment tracking tools (e.g. WandB, Neptune, TensorBoard).
- Experience in model deployment using Docker (e.g. AWS SageMaker, Google Kubernetes Engine).
- Experience in model compression or quantization for on-edge-device inference.
- Experience with Continuous Integration and Continuous Delivery(CI/CD).
- Relevant certifications in machine learning and cloud technologies (e.g., AWS, Coursera) would be a plus.
Fasilitas dan Tunjangan
Paid Sick Leave
Transportation Allowances
Work from Home
Performance Bonus
Medical / Health Insurance
Keahlian yang diperlukan
- Amazon Web Services
- Python
- Machine Learning
Ringkasan Perkerjaan
- Tingkat Posisi
- Supervisor / Asisten Manager
- Spesialisasi
- IT and Software
- Persyaratan tingkat pendidikan
- Lulus program Sarjana (S1)
- Respon rekruter ke lamaran
- Always
- Alamat Kantor
- Sahid Sudirman Center, Jl.Jend.Sudirman Kav.86
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