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#hiring #vacancy #MLOps
π Job Opening: Senior MLOps Engineer
Weβre seeking a Senior MLOps Engineer to support the deployment and scaling of ML models, focusing on enabling LLMs to interact with Zero-Knowledge (ZK) databases. This role ensures our ML infrastructure remains stable, scalable, and efficient.
Key Responsibilities:
- ML Infrastructure: Build and manage scalable cloud environments on AWS/Azure for ML workloads.
- Model Deployment & Monitoring: Deploy ML models into production with ongoing performance tracking.
- CI/CD Pipelines: Create and maintain CI/CD pipelines tailored for ML workflows.
- Data Optimization: Manage data pipelines for efficient model training and access.
- Cross-Team Collaboration: Work with -DevOps and Data Scientists to integrate models smoothly.
- Resource Scaling: Optimize cloud resources for large ML models and datasets.
- ZK Database Integration: Support LLM-ZK database interactions for secure data handling.
Qualifications:
- 3+ years in MLOps or related fields.
- Strong experience with AWS or Azure, Docker, Kubernetes, and CI/CD for ML.
- Knowledge of SQL databases and experience with monitoring tools.
- Experience with Zero-Knowledge databases is a plus.
Contact: @prokopchuk_a_l