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Hatchery Machine Operator: Incubation & Controls

Remote / Online - Candidates ideally in
Batam, Indonesia
Listing for: Japfa
Remote/Work from Home position
Listed on 2026-10-15
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 240000000 IDR Monthly IDR 240000000.00 MONTH
Job Description & How to Apply Below

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  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, build, and maintain CI/CD pipelines for machine learning models.
  • Implement and manage infrastructure for training, deploying, and serving ML models.
  • Develop strategies for model monitoring, performance tracking, and retraining.
  • Automate model validation and testing processes.
  • Collaborate with data scientists to optimize models for production environments.
  • Ensure the scalability, reliability, and security of ML infrastructure.
Requirements
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Proven experience in MLOps, Dev Ops, or related infrastructure engineering roles.
  • Strong understanding of machine learning concepts and workflows.
  • Proficiency with cloud platforms (AWS, Azure, GCP) and their ML services.
  • Experience with containerization (Docker) and orchestration (Kubernetes).
  • Solid scripting skills (e.g., Python, Bash).
  • Excellent problem-solving skills and the ability to thrive in a remote , collaborative setting.
Benefits
  • Competitive salary and comprehensive benefits package.
  • Fully remote work arrangement, providing ultimate flexibility.
  • Opportunities to work with cutting-edge MLOps technologies.
  • Professional development support and training budgets.
  • A collaborative and innovative team culture focused on empowering AI development.
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