Production Operator At Precision Parts – Grow Your Skills

Kabut; Cikarang; Remote; IDR 401,760,000 - 669,600,000; Full time

Benefits offered by this job

Highly competitive salary and rewards

Fully remote work arrangement

Comprehensive health, dental, and ...

Generous budget for professional dev/c

Job summary

Nestlé is seeking a seasoned Machine Learning Operations (MLOps) Engineer for a fully remote role. You will design and maintain scalable ML pipelines, automate deployment and monitoring, and collaborate with data scientists and software engineers to keep production ML systems reliable and secure.

Join a globally distributed team and contribute to cutting-edge AI projects, with a strong emphasis on efficiency, security, and best practices in ML lifecycle management.

Qualifications

• 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 (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.

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.

Skills

MLOps

DevOps

Python

Docker

Kubernetes

AWS

Azure

GCP

ML frameworks

Education

Bachelor's degree in Computer Science or related

Tools

Docker

Kubernetes

Job description

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.

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.

Location: Karawang Factory

Position Summary

Joining Nestlé means you are joining the largest food and Beverage Company in the world. At our very core, we are a human environment - passionate people driven by the purpose of unlocking the power of food to enhance quality of life for everyone, today and for generations to come.

A day of life of.

• Lead the Safety Culture and conditions for a Safe Working Environment. Check and enforce personnel hygiene & safety procedures
• Ensure that Semi Finish Good and Finished Goods are consistently manufactured according to standards of quality and relevant manufacturing instructions (compliance).
• Ensure that the working areas are kept clean and are maintained in working order including all installations in accordance to Nestlé Good Manufacturing Practices (NGMP)
• Manage Production effectively through operational reviews and use Standard Routines to ensure sustainable results.
• Organizing & delegating assignments to the team members, assessing and evaluating the work performance of the teams
• Ensure constant dialogue with relevant stakeholders (line shift teams, Production Manager, Maintenance, Unions, functional representatives on the line).

What will make you successful

• Bachelor (S-1) Majoring Food Technology or Technical/Engineering
• 3-5 year experience in a functional role in Food industry - Having Experience in managing and engaging / motivating people
• Ability to positively confront and effectively deal with non-compliance,
• Ability to maintain a safe working environment through effective housekeeping and adherence to safety practices.
• Ability to ensure smooth operation through effective staff management and deployment Ability to set effective and challenging objectives

We are Nestlé, the largest food and beverage company. We are 308,000 employees strong driven by the purpose of enhancing the quality of life and contributing to a healthier future. Our values are rooted in respect: respect for ourselves, respect for others, respect for diversity and respect for our future. With more than CHF 91.4 billion sales in 2018, we have an expansive presence with 413 factories in more than 85 countries. We believe our people are our most important asset, so we'll offer you a dynamic inclusive international working environment with many opportunities across different businesses, functions and geographies, working with diverse teams and cultures. Want to learn more? Visit us at .