Cad/Cam & Cnc Operator (Shift) – Production & Quality

Pt Taekwang Indonesia; Subang; Remote; IDR 1,253,582,000 - 2,148,997,000; Full time

Benefits offered by this job

Remote work

Job summary

Pt Taekwang Indonesia is seeking a skilled Machine Learning Operations (MLOps) Engineer to join a globally distributed team, working entirely remotely from your home office.

You will design, build, and maintain scalable MLOps pipelines for development, training, deployment, and monitoring of AI models, collaborating with data scientists, software engineers, and IT operations to ensure reliable, repeatable AI software delivery.

Responsibilities

• Design

Job description

Machine Learning Operations (MLOps) Engineer (Remote)

Our client is seeking a highly skilled Machine Learning Operations (MLOps) Engineer to join their globally distributed team, working entirely remotely . You will be responsible for streamlining and automating the lifecycle of machine learning models, from development and training to deployment and monitoring. This role is essential for ensuring that our AI solutions are deployed efficiently, reliably, and at scale. You will work closely with data scientists, software engineers, and IT operations to build and maintain robust MLOps pipelines, fostering a culture of continuous integration and continuous delivery for AI systems, all from your home office.

Our client is seeking a highly skilled Machine Learning Operations (MLOps) Engineer to join their globally distributed team, working entirely remotely . You will be responsible for streamlining and automating the lifecycle of machine learning models, from development and training to deployment and monitoring. This role is essential for ensuring that our AI solutions are deployed efficiently, reliably, and at scale. You will work closely with data scientists, software engineers, and IT operations to build and maintain robust MLOps pipelines, fostering a culture of continuous integration and continuous delivery for AI systems, all from your home office.

About the Role

Our client is seeking a highly skilled Machine Learning Operations (MLOps) Engineer to join their globally distributed team, working entirely remotely . You will be responsible for streamlining and automating the lifecycle of machine learning models, from development and training to deployment and monitoring. This role is essential for ensuring that our AI solutions are deployed efficiently, reliably, and at scale. You will work closely with data scientists, software engineers, and IT operations to build and maintain robust MLOps pipelines, fostering a culture of continuous integration and continuous delivery for AI systems, all from your home office.

Key Responsibilities

• Design