Description:

dv01 is a data analytics platform focused on structured finance, providing transparency into investment performance and risk.
The MLOps Engineer will build and operate the ML lifecycle platform, ensuring reliable deployment of machine learning models.

Requirements:

4–7 years of experience in platform engineering, DevOps, or MLOps with production systems.
Hands-on experience with ML lifecycle tooling (e.g., MLflow, Weights & Biases).
Proficiency in cloud-native infrastructure (Kubernetes, Terraform).
Experience with CI/CD for ML workloads.
Strong Python/Go skills and familiarity with PyTorch-based systems.
Understanding of infrastructure security and operational risk.
Excellent communication and collaboration skills.

Skills

Benefits