Building Reliable AI Systems: AI Platform Engineer

1 week ago

bareilly, India beBeeMachineLearning Full time

Job Title:AI Platform EngineerAvoiding costly system failures and ensuring reliable data insights is crucial for business success. We seek a highly skilled AI platform engineer to build, maintain and enhance large-scale ML systems.Collaborate with teams to design scalable AI/ML features using open-source Observability Platforms, Grafana, ClickHouse, and other related tools.Troubleshoot and improve system performance, reliability, and efficiency using OpenTelemetry pipelines and observability metrics.Set up, integrate, and manage MCP servers and tools across observability systems.Develop custom MCP integrations between systems, establish prompt standards, and deploy ML infrastructure on AWS or Azure.Requirements:Master's degree in Computer Science, Engineering, or Artificial Intelligence (or equivalent experience).Proven expertise designing, developing, and operating ML systems in production.Hands-on experience with LLMs/MCPs, Grafana, Databricks, Python, Kubernetes, container orchestration, and cloud platforms (AWS/Azure).Solid understanding of observability pillars (metrics, logs, traces) and CI/CD, MLOps best practices.

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