AI Engineer will serve as a technical subject-matter expert (SME) responsible for deploying integrating and supporting the Selector AI platform within the clients lab and infrastructure environments. This role is hands-on and highly technical involving configuration data integration performance monitoring documentation and collaboration with client engineering teams to ensure the platform meets defined use cases and acceptance criteria.
Required Skills & Experience
- Hands-on experience deploying and supporting Selector AI or similar AIOps / observability platforms
- Strong background in Kubernetes (K8s) and containerized infrastructure monitoring
- Experience with data ingestion pipelines data validation and system integrations
- Familiarity with performance metrics KPIs and observability tooling
- Ability to collaborate closely with client engineering teams in a lab or pre-production environment
- Strong documentation skills with the ability to translate technical processes into clear operational guides
AI Engineer will serve as a technical subject-matter expert (SME) responsible for deploying integrating and supporting the Selector AI platform within the clients lab and infrastructure environments. This role is hands-on and highly technical involving configuration data integration performance moni...
AI Engineer will serve as a technical subject-matter expert (SME) responsible for deploying integrating and supporting the Selector AI platform within the clients lab and infrastructure environments. This role is hands-on and highly technical involving configuration data integration performance monitoring documentation and collaboration with client engineering teams to ensure the platform meets defined use cases and acceptance criteria.
Required Skills & Experience
- Hands-on experience deploying and supporting Selector AI or similar AIOps / observability platforms
- Strong background in Kubernetes (K8s) and containerized infrastructure monitoring
- Experience with data ingestion pipelines data validation and system integrations
- Familiarity with performance metrics KPIs and observability tooling
- Ability to collaborate closely with client engineering teams in a lab or pre-production environment
- Strong documentation skills with the ability to translate technical processes into clear operational guides
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