ML Ops (The.One)

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Requirements:

• Strong proficiency in Kubernetes, preferably with AWS EKS.
• Expertise in infrastructure-as-code, particularly with Terraform.
• Solid experience with CI/CD pipelines, especially GitHub Actions.
• Proficiency in Python for scripting and automation.
• Strong understanding of MLOps principles and practices.
• Experience with ML workflow optimization.
• Familiarity with AWS services, including MKS, SageMaker, and Bedrock.
• Expertise in monitoring and observability tools, specifically VictoriaMetrics and Grafana stack.
• Knowledge of network security and inter-network communication in cloud environments.
• Experience with GitOps methodologies and tools, especially FluxCD.

Responsibilities:

• Design, implement, and maintain CI/CD pipelines for C# services using GitHub Actions.
• Develop and optimize ML pipelines for training, inference, and data processing.
• Manage and scale Kubernetes clusters in AWS.
• Implement and maintain infrastructure-as-code using Terraform.
• Enhance observability across the platform using VictoriaMetrics and Grafana stack.
• Collaborate with ML engineers.
• Implement GitOps practices for infrastructure and application management.
• Continuously improve system reliability, scalability, and performance.