Machine Learning Engineer

Nri Indonesia; Daerah Khusus Ibukota Jakarta; On-site; IDR 300.000.000 - 400.000.000; Full time

Job summary

A leading tech firm in Jakarta is seeking a Machine Learning Engineer to design and implement advanced ML/DL solutions. The ideal candidate has 3+ years of experience in building ML models for real-world applications and is proficient in Python, with a solid understanding of ML frameworks. This role involves collaborating with domain experts and ensuring robust ML pipelines for production.

Qualifications

• 3 years of hands-on experience in building ML models for real-world applications.
• Strong understanding of ML/DL frameworks and algorithms.
• Proficiency with Python and related libraries.

Responsibilities

• Design & implement ML/DL solutions integrated with Big Data platforms.
• Create and maintain scalable ML pipelines.
• Collaborate with software development and product teams.

Skills

Machine Learning

Deep Learning

Python

Cloud Services (AWS/Azure)

ML frameworks (Tensorflow, Keras)

Data Pipelines

Tools

Jupyter Notebook

Anaconda

Docker

Job description

Overview

A Machine Learning Engineer trains machine learning (ML) and deep learning (DL) models or implements pretrained models to perform visual recognition tasks, text generation, classification, etc.

• Design & implement ML/DL solutions and integrate them with various Big Data platforms and architectures.
• Creating and maintaining ML pipelines that are scalable, robust, and ready for production.
• Collaborate with domain experts, software developers, and product owners.
• Troubleshoot ML/DL model issues, including recommendations for retrain, revalidate, and improvements/optimization.
• Realize Continuous Integration (CI) and Continuous Deployment (CD) pipelines within ML/DL platforms.

Requirements

3 years of hands‑on experience in building ML models deployed into real‑world business applications or research.

Good understanding of ML/DL frameworks such as Jupyter Notebook, Anaconda, Tensorflow, Keras, Scikit-Learn, PyTorch, MXNet, etc.

Experience working with cloud services platforms (AWS or Azure) to build ML/DL pipelines; training (GPU CUDA), evaluating, deploying (SageMaker, Docker container).

Proficiency with Python and basic libraries for ML such as scikit-learn and pandas.

Strong working knowledge of ML/DL algorithms (classification, regression, clustering, hyperparameter tuning, etc).

Experience in working with LLM for text and image generation.

Preferences

• Having a working knowledge of AI agents is nice to have.
• Experience with Image Processing/Computer Vision is nice to have.
• Experience with Continuous Integration and Continuous Delivery (CI/CD) is nice to have.

We will also factor in relevant certifications e.g., AWS, Azure, Coursera.