About this role
An ML Ops Engineer on Achievers' Data Science team responsible for supporting the full operational lifecycle of traditional ML systems and generative AI applications. The role focuses on enabling scalable training, evaluation, deployment, and monitoring for ML and GenAI workloads while shaping infrastructure, automation, quality, and reliability practices.
Required Skills
- MLOps
- GenAI
- Vertex AI
- GCP
- BigQuery
- Cloud Run
- GKE
- Terraform
- Python
- CI/CD
+6 more
About Achievers
achievers.comNew Relic is a cloud-based observability platform that helps engineering and operations teams instrument, monitor, and troubleshoot applications and infrastructure in real time. It ingests metrics, traces, logs, and events and offers APM, distributed tracing, logs management, synthetic checks, infrastructure monitoring, dashboards, alerting, and AI-driven insights. The platform emphasizes a unified data model and developer-friendly agents, APIs, and query language (NRQL), plus broad integrations with cloud and DevOps tools. Organizations use New Relic to speed root-cause analysis, optimize performance and reliability, and measure against service-level objectives.
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