$2,849.00 Fixed
CoreData Systems
Contract · Flexible hours
About the role
CoreData Systems is building a scalable AI platform and needs a senior MLOps Engineer to streamline model deployment workflows. You will own the end‑to‑end pipeline, from data ingestion to production monitoring, ensuring high availability and performance.
Key responsibilities
- Design and implement CI/CD pipelines for ML models using Docker and Kubernetes.
- Automate model versioning, testing, and roll‑out on AWS services.
- Develop monitoring and alerting for model drift and infrastructure health.
- Collaborate with data scientists to containerize training jobs and optimize resource usage.
- Document best practices and create reusable templates for future projects.
Must-have skills
- Expertise in Python for scripting and automation.
- Strong experience with Docker and Kubernetes orchestration.
- Proficiency in AWS (ECS, EKS, S3, CloudWatch).
- Deep understanding of DevOps principles and CI/CD tools.
- Solid background in MLOps concepts and model lifecycle management.
Nice to have
- Familiarity with Terraform or CloudFormation for infrastructure as code.
- Experience with monitoring tools such as Prometheus or Grafana.
- Proposal: 0
- Less than 3 month
Eric Malinowski
,
Member since
Oct 27, 2025
Total Job