DevOps Engineer

We are looking for an DevOps/MLOps Engineer to join our team and help build scalable machine learning pipelines as well as maintain the required hardware stack. The ideal candidate will have a good understanding of machine learning principles, excellent knowledge of Python, and experience with MLOps pipelines and their deployment.

Requirements
- Experience with cloud platforms such as AWS or GCP
- Knowledge of IaaC (Terraform) and Kubernetes
- Strong programming skills in Python
- Basic understanding of machine learning concepts and principle

Responsibilities
- Help implement backend services.
- Implement and maintain ML pipelines for internal and production use.
- Monitor and maintain the underlying cloud infrastructure.
- Troubleshoot and resolve production issues

Nice to Have
- Familiarity with large GPU cluster deployment and distributed training
- Experience with deep learning libraries such as PyTorch and image processing libraries like OpenCV
- Strong problem-solving skills and ability to work independently
- Acquaintance with pipeline orchestrators like Airflow
- Experience with distributed computing technologies