Ml Ops

**Responsibilities**:- 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**Requirements**:- 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)**Salary**: Rp6,000,000 - Rp10,000,000 per month