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Platform Engineering Expertise for Machine Learning Operations
hace 2 semanas
As a Senior MLOps Platform Engineer, you will serve as a consultant embedded with enterprise clients to transform their ML infrastructure operations.
">- Design and implement build systems supporting complex ML model training and deployment pipelines.
- Utilize the Slurm REST API for HPC integration solutions in cloud-native ML workloads on GCP.
- Optimize performance for containerized workloads, including large containers and long-running machine learning processes.
- Implement client infrastructure using Terraform on GCP, integrating with existing Vertex AI and GKE environments.
- Lead client infrastructure migration initiatives from Azure DevOps to GitHub Actions, working within client timelines and constraints.
Required Skills and Qualifications:
- 5+ years of platform engineering experience with a proven delivery track record in consulting environments.
- Strong expertise in GCP infrastructure and Vertex AI platform deployment.
- Proficiency in Python backend services development and optimization techniques.
- Hands-on experience with Kubernetes orchestration and GKE in enterprise environments.
- Proven experience with Infrastructure as Code using Terraform for client implementations.
- Experience delivering large-scale build systems and CI/CD pipeline optimization.
- Knowledge of containerization strategies for complex ML workloads and performance optimization.
- Experience with Git-driven development workflows and GitHub Actions migration projects.
- Strong client communication and stakeholder management skills for technical consulting engagements.
Benefits:
Unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
Others:
Madrid, Community of Madrid, Spain
