
Cloud Machine Learning Operations Specialist
1 day ago
We seek a seasoned ML operations expert to spearhead the design, deployment and optimization of machine learning applications across cloud platforms.
- Lead end-to-end ML pipeline development, deployment and monitoring on GCP & Azure.
- Design and build MLOps solutions from scratch with emphasis on scalability.
- Develop CI/CD pipelines (ArgoCD, GitHub Actions, GitLab CI, Docker) for reproducibility.
- Automate and optimize ML model training, validation, deployment and scaling using Kubernetes / Kubeflow.
- Design data processing workflows using Python and PySpark on distributed systems.
- Implement observability and monitoring tools like Grafana, NewRelic, Prometheus.
- Transition research models into production-grade solutions in collaboration with Data Scientists.
- Guide junior engineers, conduct code reviews and enforce coding best practices.
- Manage Infrastructure as Code (IaC) for scalability.
The ideal candidate has hands-on experience with:
- Cloud platform services
- MLOps toolchains
- Containerization (Docker)
- Kubernetes orchestration
- CI/CD pipelines
- Python and PySpark programming
- Observability and monitoring tools
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