Senior Machine Learning Architect

4 days ago


thane, India beBeeMachineLearning Full time

Job OverviewWe are seeking a seasoned Machine Learning Engineer to lead the development and enhancement of our open-source Observability Platform.Key Responsibilities:Design and implement AI/ML features for the platform built on Grafana and ClickHouse, focusing on scalability, reliability, and performance.Collaborate with SREs, service owners, and observability specialists to ensure seamless ML model deployment and integration.Develop and manage data pipelines using Databricks and related tools, ensuring efficient data processing and analysis.Apply CI/CD and MLOps best practices to automate model deployment, testing, and monitoring.Deploy and manage ML infrastructure on cloud platforms such as AWS or Azure, ensuring high availability and scalability.Implement OpenTelemetry pipelines for ML systems, leveraging metrics, logs, and traces for optimized performance and reliability.Design and develop custom MCP integrations between systems, ensuring seamless data exchange and synchronization.RequirementsMaster's degree in Computer Science, Engineering, or Artificial Intelligence (or equivalent experience).Proven expertise in designing, developing, and operating ML systems in production environments.Hands-on experience with Large Language Models (LLMs), Grafana, and Databricks.Strong programming skills in Python, with a focus on AI/ML and data engineering.Familiarity with container orchestration, cloud platforms (AWS/Azure), and Kubernetes.Thorough understanding of observability pillars, including metrics, logs, and traces.Experience implementing CI/CD, MLOps, and monitoring best practices.What We OfferWe provide a collaborative and innovative work environment, opportunities for professional growth, and competitive compensation packages.



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