Building Scalable Machine Learning Systems

6 days ago


rajahmundry, India beBeeMachineLearning Full time

Machine Learning Engineer PositionWe are seeking a Machine Learning Engineer to build and maintain large-scale ML systems. This position involves designing an open-source observability platform, adding AI capabilities for critical insights.BUILD AND MAINTAIN AI/ML FEATURES FOR OUR OPEN-SOURCE PLATFORM ON GRAFANA AND CLICKHOUSE.COLLABORATE WITH SREs, SERVICE OWNERS, AND OBSERVABILITY SMEs TO ENSURE SCALABLE, RELIABLE ML MODEL DEPLOYMENT.DESIGN AND MANAGE DATA PIPELINES USING DATABRICKS AND RELATED TOOLS.IMPLEMENT CI/CD AND MLOPS BEST PRACTICES TO AUTOMATE MODEL DEPLOYMENT AND TESTING.DEPLOY AND MANAGE ML INFRASTRUCTURE ON AWS OR AZURE.SET UP AND INTEGRATE MCP SERVERS AND CONNECT TOOLS ACROSS OBSERVABILITY SYSTEMS.ESTABLISH PROMPT STANDARDS AND DEVELOP CUSTOM MCP INTEGRATIONS BETWEEN SYSTEMS.About the JobThis is a fantastic opportunity to work on a cutting-edge project, building and maintaining large-scale ML systems. As a Machine Learning Engineer, you will be responsible for designing and implementing AI capabilities for our open-source observability platform.The ideal candidate will have experience in building and maintaining complex ML systems, as well as collaborating with cross-functional teams. Strong knowledge of data pipelines, machine learning algorithms, and software development best practices is required.In return, we offer a dynamic and supportive work environment, opportunities for growth and development, and a competitive salary package.RequirementsExperience in building and maintaining complex ML systems.Strong knowledge of data pipelines, machine learning algorithms, and software development best practices.Collaboration skills and ability to work effectively in a team.Ability to design and implement AI capabilities for an open-source observability platform.BenefitsCompetitive salary package.Dynamic and supportive work environment.Opportunities for growth and development.



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