Lowongan Kerja Jakarta Pusat Posisi Machine Learning Staff – It Consulting di RGF HR Agent Indonesia

Info Loker

Perusahaan	RGF HR Agent Indonesia
Posisi	Machine Learning Staff - It Consulting
Tempat	Jakarta Pusat
Tingkatan Kerja	Pegawai (non-manajemen & non-supervisor)
Kualifikasi	D3 (Diploma), D4 (Diploma), Diploma Pascasarjana, Gelar Professional, Magister (S2), Sarjana (S1), Sertifikat Professional
Jenis Pekerjaan	Full Time
Spesialisasi Dibutuhkan	IT-Perangkat Lunak, Komputer/Teknologi Informasi
Gaji Min	Rp. 12.000.000
Gaji Max	Rp. 24.000.000

About The Company:

• The working venue is in Jakarta Pusat. (The work is fully remote).
• Our client is a Japanese IT Consulting company. Currently, they are looking for Machine Learning Staff.

Job Responsibilities:

• 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.
• Other related tasks as assigned.

Job Requirements:

• Minimum 1+ year of Data Analyst or Machine Learning.
• 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, et cetera).
• 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, et cetera.
• Experience in using computer vision libraries such as OpenCV, PIL.

<Preferable Skill / Experience>

• 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.

[Only CV in English will be processed] 

Lamar kerja

Deskripsi Perusahaan

Info Perusahaan

• Industri: Manajemen/Konsulting HR
• Ukuran Perusahaan: 1- 50 pekerja
• Waktu Proses Lamaran: 9 hari
• Tunjangan dan Lain-lain: Asuransi kesehatan, Penglihatan, Waktu regular, Senin - Jumat, Bisnis (contoh: Kemeja)