Machine Learning

Talent Insider; Daerah Khusus Ibukota Jakarta; On-site; IDR 15.000.000 - 20.000.000; Full time

Job summary

A technology firm in Jakarta is seeking a Machine Learning Engineer to translate business goals into machine learning objectives. The candidate will design and implement ML solutions, maintain pipelines, and troubleshoot model issues. Ideal applicants have over a year of experience in software development and hands-on experience with machine learning models and Python libraries like scikit-learn and TensorFlow.

Qualifications

• 1+ years of experience in software development or frontend.
• Hands-on experience in building ML models for real-world applications.
• Good understanding of ML/DL algorithms and hyperparameter tuning.

Responsibilities

• Translate business goals into machine learning objectives.
• Design and implement ML/DL solutions integrating with big data.
• Maintain scalable and robust ML pipelines.

Skills

Machine Learning

Python

Scikit-learn

Deep Learning

Computer Vision

Tools

TensorFlow

Keras

PyTorch

OpenCV

Job description

Job Description

• 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.

Requirement

• Min 1+ years of software or Frontend
• 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.