AI Engineer
Code.id
- South Jakarta, IndonesiaMangkuluhur City Tower One 7th Floor, South Jakarta, DKI Jakarta, IndonesiaSouth JakartaDKI JakartaIndonesiaIndonesia
- Penuh waktuFULL_TIME
Lowongan dipasang 12 hours ago dan batas waktu lamaran adalah 13 Aug
Rekruter terakhir aktif 10 hours ago
2026-06-15T02:46:52.796367+00:002026-08-13T17:00:00+00:00Deskripsi Pekerjaan
- Gathering, cleaning, and labeling large datasets so machine learning models can learn from them.
- Designing, training, and fine-tuning AI models (like neural networks) from scratch.
- Converting machine learning models into APIs or software so they can be seamlessly used in apps or websites.
- Connecting AI models with existing back-end/front-end systems and cloud servers.
- Evaluating the performance, speed, and accuracy of AI systems, and tweaking them to reduce errors.
- Monitoring deployed AI systems in production to ensure they adapt to new data and changing business needs
Kualifikasi Minimum
- 3+ years of hands-on experience in developing and deploying ML models into real-world business applications or research environments.
- Strong understanding of ML/DL frameworks such as Jupyter Notebook, Anaconda, TensorFlow, Keras, Scikit-learn, PyTorch, and MXNet.
- Proven experience working with cloud service platforms (AWS, Azure, or GCP) for ML/DL pipeline orchestration including GPU-based training (CUDA), model evaluation, and deployment (e.g., SageMaker, Docker, or Vertex AI).
- Proficiency in Python and core data/ML libraries such as Pandas, NumPy, and Scikit-learn.
- Solid grasp of machine learning algorithms (classification, regression, clustering, feature selection, hyperparameter tuning, etc.).
- Experience developing and fine-tuning Large Language Models (LLMs) for text, code, or image generation.
- Understanding of Retrieval-Augmented Generation (RAG) architecture, including knowledge of vector databases (e.g., FAISS, ChromaDB, Milvus) and embedding models.
- Experience integrating LLMs with external tools, APIs, and data sources through frameworks such as LangChain, LlamaIndex, or similar orchestration layers.
- Familiarity with MCP (Model Context Protocol) or modern context-sharing protocols for building scalable, composable AI systems.
- Experience implementing modern AI pipelines involving fine-tuning, prompt engineering, context retrieval, and model evaluation workflows.
- Knowledge of model optimization and monitoring (latency, throughput, token efficiency, and hallucination detection).
- Ability to collaborate with cross-functional teams (data engineers, analysts, and software developers) to deliver AI-powered features and applications.
Ringkasan Perkerjaan
- Tingkat Posisi
- Lulusan Baru / Junior
- Spesialisasi
- IT and Software
- Persyaratan tingkat pendidikan
- Lulus program Sarjana (S1)
- Alamat Kantor
- Jalan Gatot Subroto 3, RT02/RW04, Karet Semanggi Kel., Setia Budi, Jakarta Selatan, 12930, Indonesia
Agar merasa aman saat melamar: carilah ikon verifikasi dan selalu lakukan riset terhadap Perusahaan yang Anda lamar. Hindari dan laporkan situasi dimana Perusahaan membutuhkan bayaran dalam proses rekrutmen mereka.
Tentang Code.id
CODE.ID was previously a business unit of INTEGRASI, a system integrator that also provided software services established in 1999. In 2014, CODE.ID becomes an independently run company which currently has around 100 passionate developers with a myriad numbers of skill sets.
CODE.ID has been established since 1999 and became a publicly listed company in Jakarta Stock Exchange in 2001 - as PT Integrasi Teknologi Tbk. It was back to be a private company in 2007.
Our Success Stories:
We successfully developed, deployed, and supported Information Technology Infrastructure for Komisi Pemilihan Umum (KPU) or the National Election Commission in 2004. We developed the election application and also distributed, installed, and supported (7x24 hour) two data centers and 8000 VPN connected personal computers in 5,000 locations in the cities, rural areas, and remote areas all over Indonesia.