AI-Powered Observability Solutions Architect

7 days ago

kakinada, India beBeeMachineLearningEngineer Full time

Job Opportunity:Our team is seeking a highly skilled Machine Learning Engineer to lead the development of our open-source observability platform. The ideal candidate will have expertise in designing and enhancing large-scale, reliable ML systems, with a focus on adding AI capabilities that power critical insights across enterprise environments.Design and implement AI/ML features for an open-source Observability Platform built on Grafana and ClickHouse.Collaborate closely with SREs, service owners, and observability experts to ensure scalable, reliable ML model deployment.Develop and manage data pipelines using Databricks and related tools.Apply CI/CD and MLOps best practices to automate model deployment and testing.Deploy and manage ML infrastructure on cloud platforms like AWS or Azure.Integrate MCP servers and connect tools across observability systems.Establish standards for machine learning model development and develop custom integrations between systems.Troubleshoot ML system performance and reliability issues using OpenTelemetry pipelines and observability metrics.Required Skills:Proficiency in programming languages such as Python, Java, or C++.Experience with distributed computing frameworks like Dask or Spark.Knowledge of machine learning algorithms and deep learning techniques.Understanding of DevOps practices and tools like Jenkins or Docker.Ability to work effectively in a collaborative environment.Benefits:As a Machine Learning Engineer at our company, you will have the opportunity to work on cutting-edge projects, collaborate with a talented team, and develop your skills in a fast-paced environment. We offer competitive salaries, comprehensive benefits, and a dynamic work environment that encourages innovation and growth.

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