Machine Learning Staff

Talent Insider; Jakarta Selatan; On-site; IDR 200.000.000 - 300.000.000; Full time

Job summary

A growing HR Consultancy in Jakarta Selatan is seeking a Machine Learning Specialist to translate business goals into ML objectives and design solutions utilizing various big data platforms. Candidates should have a minimum of 1 year experience and proficiency in Python and ML libraries. This role offers a dynamic environment where you can collaborate with experts in the field and tackle real-world challenges.

Qualifications

• Min 1+ years of software or Frontend experience.
• Hands-on experience in building ML models deployed into real-world applications.
• Good understanding of ML/DL algorithms including classification and regression.

Responsibilities

• Translate business goals into machine learning objectives.
• Design and implement ML/DL solutions.
• Maintain ML pipelines that are scalable and production-ready.

Skills

Machine Learning

Deep Learning

Python

Computer Vision

Tools

scikit-learn

TensorFlow

Keras

PyTorch

Job description

Talent Insider is an upcoming HR Consultancy Service, founded in 2021. Our clients have been some of the leading brands in Indonesia, and this service continues to expand.
Registered in Singapore & Indonesia, we can assist with your growth plans and strategies, and continue to expand our regional presence with strong regional partners to assist our client in recruitment and branding strategy.

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.

Job Requirements:

• 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.