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ML Ops


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Deskripsi Pekerjaan

  • Implement and optimize continuous integration/continuous deployment (CI/CD) pipelines for machine learning models
  • Collaborate with DevOps and IT teams to integrate machine learning workflows with existing systems and infrastructure
  • Develop the engineering architecture and data pipelines needed to enable large-scale machine learning systems
  • Work with stakeholders across the organization to understand their machine learning needs and requirements, and to develop MLOps solutions that meet those needs
  • Implement best practices for version control, model versioning, and reproducibility in machine learning projects


  • Bachelor’s/Master's degree in Computer Science, Artificial Intelligence, or a related field from reputable university
  • 2-5 years of experience in MLOps, Machine Learning engineering, Data engineering, or a related field
  • Solid understanding of ML model training concepts
  • Experience with popular ML frameworks (TensorFlow, PyTorch, scikit-learn)
  • Familiarity with model deployment tools (e.g., MLflow, TensorFlow Serving, Kubeflow)
  • Proven experience deploying machine learning models into production environments
  • Expertise in building and maintaining CI/CD pipelines for machine learning
  • Strong knowledge of containerization and container orchestration technologies, such as Docker and Kubernetes
  • Experience in any of the cloud platforms (Azure, Google Cloud, or AWS)
  • Knowledge of using monitoring and logging tools (e.g., Prometheus)

We believe in internet equality for the world.

Kecilin is a modern self-crafted data compression startup that has been established since 2018. Our aim is to make people connect easier with others through smaller yet optimized files—such as photos, videos, even apps!

Slow internet connections must be frustrating. Kecilin believes that large files make people throw their hands up, waste of time and money. Kecilin wants to help you to lessen your frustration through smaller files so you can save more time to upload and download it on the virtual world.

Software Development
Jakarta, Indonesia
Ukuran Perusahaan
50–100 employees