Deskripsi Pekerjaan
We are seeking a highly skilled AI Platform Engineer to join BlankSpace Inc and drive our artificial intelligence infrastructure forward. In this pivotal role, you will bridge the gap between cutting-edge machine learning research and scalable, reliable production systems. You will be responsible for designing, building, and maintaining the platforms that power our AI initiatives, ensuring our models are deployed efficiently and securely.
As part of our innovative team, you will collaborate closely with data scientists and software engineers to integrate complex models into our core products. We value engineers who are not only technically proficient but also passionate about solving complex problems and improving system performance. If you are looking for a challenging opportunity to shape the future of AI technology in a dynamic environment, apply today.
Tanggung Jawab
- Design and architect scalable AI and MLOps platforms to support large-scale machine learning workloads.
- Develop and maintain CI/CD pipelines for automated model training, testing, and deployment.
- Collaborate with data science teams to integrate machine learning models into production applications seamlessly.
- Optimize cloud infrastructure and reduce costs while ensuring high availability and performance.
- Implement robust monitoring and logging solutions to track model performance and system health.
- Ensure data security, compliance, and best practices across all AI engineering processes.
Kualifikasi
- Bachelor’s degree in Computer Science, Information Technology, or a related technical field.
- Proven experience as an AI Engineer, MLOps Engineer, or Platform Engineer.
- Strong proficiency in Python and experience with deep learning frameworks (TensorFlow, PyTorch).
- Hands-on experience with cloud platforms (AWS, Azure, or GCP) and containerization technologies (Docker, Kubernetes).
- Experience with data versioning tools (e.g., MLflow) and big data technologies.
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.