Machine Learning Operations Engineer

VectorMind Systems helps companies deploy and monitor machine learning systems in production. We are hiring an MLOps Engineer to improve our model deployment pipelines, observability, and cloud infrastructure.

This role is ideal for someone who enjoys the practical side of AI: reliable deployments, clean data workflows, reproducible environments, monitoring, and making sure models keep working after launch.

Responsibilities:
- Build and maintain deployment pipelines for ML and AI services.
- Improve infrastructure reliability across cloud environments.
- Set up monitoring, logging, and alerting for model-backed services.
- Work with ML engineers to package, test, and deploy models safely.
- Automate repeatable workflows and reduce manual release steps.

Requirements:
- Strong experience with Python and cloud infrastructure.
- Hands-on experience with Docker and CI/CD pipelines.
- Familiarity with AWS, Kubernetes, or Terraform.
- Understanding of ML model deployment patterns.
- Strong debugging skills and comfort working across backend and infrastructure layers.