Operator Of Filling Ahle Gp

Pt Japfa Comfeed Indonesia Tbk; Jawa Barat; Teletrabalho; IDR 180 000 000 - 300 000 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Fully remote

Competitive salary

Health insurance

Professional development budget

Global distributed team

Resumo da oferta

Pt Japfa Comfeed Indonesia Tbk is seeking a skilled Machine Learning Operations (MLOps) Engineer to join its fully remote, high-performing team. You will bridge ML development and IT operations, deploying and maintaining ML models in production, building automated pipelines, and scaling infrastructure.

You will collaborate with data scientists and software engineers to ensure reliable monitoring, security, and performance across ML systems, leveraging Python, Docker, Kubernetes, and cloud

Qualificações

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Experience in MLOps, DevOps, or similar roles focused on automation.
• Strong Python and containerization (Docker, Kubernetes) skills.
• Experience with cloud platforms (AWS, Azure, GCP) and ML services.
• Familiarity with ML frameworks and deployment strategies.
• Ability to work independently in a remote setting.

Responsabilidades

• Design, implement, and maintain CI/CD pipelines for ML models.
• Automate deployment, scaling, and monitoring of ML models in production.
• Develop infrastructure and tooling to support the ML lifecycle.
• Collaborate with data scientists and software engineers to troubleshoot production issues.
• Implement robust monitoring, logging, and alerting for ML systems.
• Ensure the security, reliability, and performance of ML infrastructure.

Conhecimentos

Python

Docker

Kubernetes

Cloud platforms

ML frameworks

Problem solving

Formação académica

Bachelor's degree in CS/Engineering

Ferramentas

CI/CD tooling

Descrição da oferta de emprego

Machine Learning Operations (MLOps) Engineer - Remote

Our client is seeking a skilled Machine Learning Operations (MLOps) Engineer to join their fully remote, high-performing team. This role is essential for bridging the gap between machine learning development and IT operations, ensuring the reliable deployment, monitoring, and maintenance of ML models in production. You will be responsible for building and automating ML pipelines, managing infrastructure, and implementing best practices for scalability and efficiency. This is an excellent opportunity for an experienced engineer to drive operational excellence in AI and contribute to the success of cutting-edge ML applications from anywhere.

About the Role

Our client is seeking a skilled Machine Learning Operations (MLOps) Engineer to join their fully remote, high-performing team. This role is essential for bridging the gap between machine learning development and IT operations, ensuring the reliable deployment, monitoring, and maintenance of ML models in production. You will be responsible for building and automating ML pipelines, managing infrastructure, and implementing best practices for scalability and efficiency. This is an excellent opportunity for an experienced engineer to drive operational excellence in AI and contribute to the success of cutting-edge ML applications from anywhere.

Key Responsibilities

• Design, implement, and maintain CI/CD pipelines for machine learning models.
• Automate the deployment, scaling, and monitoring of ML models in production environments.
• Develop infrastructure and tooling to support the machine learning lifecycle.
• Collaborate with data scientists and software engineers to troubleshoot and resolve production issues.
• Implement robust monitoring, logging, and alerting for ML systems.
• Ensure the security, reliability, and performance of ML infrastructure.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• Proven experience in MLOps, DevOps, or a similar role focused on automation and infrastructure.
• Strong proficiency in scripting languages (e.g., Python) and containerization technologies (e.g., Docker, Kubernetes).
• Experience with cloud platforms (AWS, Azure, GCP) and their ML services.
• Familiarity with ML frameworks and model deployment strategies.
• Excellent problem-solving skills and ability to work independently in a remote setting.

Benefits

• Highly competitive salary and performance-based rewards.
• Fully remote work arrangement, offering exceptional work-life balance and flexibility.
• Comprehensive health, dental, and vision insurance coverage.
• Generous budget for professional development, certifications, and attending virtual conferences.
• Opportunity to work with a talented, globally distributed team on impactful AI projects.