
Senior Inference Engineer
- Singapore
- Permanent
- Full-time
- Experience: 5+ years of experience in MLOps, DevOps, or a similar role focused on deploying and managing applications, especially machine learning models.
- Coding: Strong programming skills in Python (preferred) and experience with scripting (e.g., Bash).
- MLOps Tools: Hands-on experience with MLOps platforms or tools like MLflow, Kubeflow, Sagemaker, or similar.
- Cloud Expertise: Solid experience deploying and managing applications on cloud platforms like AWS, GCP, or Azure.
- Containers & Orchestration: Strong understanding and experience with Docker and Kubernetes.
- CI/CD: Experience setting up and managing CI/CD pipelines using tools like Jenkins, GitLab CI.
- Communication: Great at explaining technical concepts and working with different teams.
- A culture that values authenticity and diversity of thoughts and backgrounds;
- An inclusive and respectable environment with open workspaces and exciting start-up spirit;
- Fast-growing company with the chance to network with industrial pioneers and enthusiasts;
- Ability to contribute directly and make an impact on the future of the digital asset industry;
- Involvement in new projects, developing processes/systems;
- Personal accountability, autonomy, fast growth, and learning opportunities;
- Attractive welfare benefits and developmental opportunities such as training and mentoring.