Stradit
AI/ML Observability Engineer
Dallas, Texas, United States
Sponsorship not specifiedDetected 1 day ago
PythonDistributed SystemsSnowflakeAWSCI/CDGrafanaSite Reliability EngineeringMachine LearningTensorFlowPyTorchPandasNumPyData EngineeringData ScienceLLMsRAGAgentic AIAI OrchestrationStatisticsLeadershipCommunicationCollaborationProblem Solving
About the role
- Overview We are seeking a passionate and hands-on AI/ML Engineer to accelerate our Enterprise Observability strategy. This role will design, build, and operationalize AI/ML capabilities that enhance end to end telemetry pipelines, anomaly detection, intelligent alerting, and proactive system resiliency. You will work at the intersection of AI/ML
- engineering, Observability platforms, and automation, developing solutions that improve detection, diagnosis, and prevention of operational issues across distributed systems.
Requirements
- Required Skills & Qualifications Core Technical Skills
- Experience with Generative AI, LLM fine tuning, prompt engineering, RAG pipelines, and LLM evaluation frameworks.
- Strong understanding of statistics, time series modeling, and anomaly detection.
- Experience with OpenTelemetry for logs, metrics, traces, spans.
Nice to have
- Hands on with AWS (SageMaker, Bedrock), Snowflake ML, Snowflake/Openflow, Snowflake AI Observability tooling.
- Strong understanding of distributed systems and microservices telemetry requirements.
- Automation & Engineering Quality
- Experience with automation pipelines, CI/CD, and infrastructure as code patterns supporting Observability adoption.
- Experience in Snowflake ML workflows, Snowflake Cortex Agents, and data pipeline automation.
- Exposure to AI-enabled alerting, RCA automation, and operational self‑healing concepts.
- Experience with large-scale operational telemetry and multi-cloud ecosystems.
- Strong analytical thinking and problem solving.
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