AI Infrastructure Expert

6 days ago


bhavnagar, India beBeeArchitecture Full time

Artificial Intelligence Platform ArchitectWe're seeking a highly skilled Artificial Intelligence Platform Architect to design and develop our cutting-edge AI observability platform.Key Responsibilities:Design and enhance the open-source observability platform, incorporating AI capabilities that provide critical insights across enterprise environments.Collaborate with SREs, service owners, and observability SMEs to ensure scalable and reliable ML model deployment.Develop data pipelines using Databricks and related tools, ensuring efficient data processing and analysis.Implement CI/CD and MLOps best practices to automate model deployment and testing, reducing time-to-market and improving overall quality.Deploy and manage ML infrastructure on cloud platforms such as AWS or Azure, ensuring high availability and scalability.Integrate MCP servers and connect tools across observability systems, providing a seamless user experience.Troubleshoot ML system performance and reliability using OpenTelemetry pipelines and observability metrics, ensuring optimal system operation.Requirements:Master's degree in Computer Science, Engineering, or Artificial Intelligence (or equivalent experience).Proven experience designing, developing, and operating ML systems in production environments.Hands-on experience with Large Language Models/Machine Learning Platforms, Grafana, and Databricks.Strong coding skills in Python programming language.Familiarity with Kubernetes, container orchestration, and cloud computing platforms.Solid understanding of observability pillars (metrics, logs, traces), ensuring comprehensive monitoring and analysis.Experience implementing OpenTelemetry pipelines for ML systems, providing real-time visibility and insights.Knowledge of CI/CD, MLOps, and monitoring best practices, ensuring efficient and effective operations.What We Offer:A competitive compensation package and benefits.Opportunities for professional growth and development, including training and mentorship.A dynamic and collaborative work environment, fostering innovation and creativity.



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