AI Observability Platform Developer

2 weeks ago

junagadh, India beBeeMachineLearningEngineer Full time

Key ResponsibilitiesWe are seeking an experienced Machine Learning Engineer to join our team. The successful candidate will have a strong background in AI/ML and Observability.The ideal candidate will design, build, and maintain AI/ML features for our open-source Observability Platform built on Grafana and ClickHouse.They will collaborate with cross-functional teams, including SREs, service owners, and observability SMEs to ensure scalable, reliable ML model deployment.This role involves designing and managing data pipelines using Databricks and related tools, as well as implementing CI/CD and MLOps best practices to automate model deployment and testing.The engineer will be responsible for deploying and managing ML infrastructure on AWS or Azure, setting up and integrating MCP servers, and connecting tools across observability systems.Establishing prompt standards and developing custom MCP integrations between systems is also a key aspect of this role.Troubleshooting ML system performance and reliability using OpenTelemetry pipelines and observability metrics is another critical responsibility.RequirementsA Bachelor's or Master's degree in Computer Science, Engineering, or a related field.Strong programming skills in languages such as Python, Java, or C++.Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.Familiarity with cloud platforms like AWS or Azure.Knowledge of DevOps tools like Docker, Kubernetes, or Jenkins.Excellent problem-solving skills and attention to detail.BenefitsAs a Machine Learning Engineer at our company, you will enjoy a competitive salary and benefits package, including health insurance, retirement plan, and paid time off.What We OfferWe offer a dynamic work environment, opportunities for professional growth and development, and a chance to work on challenging projects that make a real impact.

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