Position: Platform Support Engineer ( AI/ML ) Location: Charlotte NC & Irving Texas (5 days Onsite a week) Duration: 12 Months Contract
Client Note: We need someone who can support the platforms our developers use rather than build AI/GenAI solutions themselves.
Core Technical Skills
Vector Databases: Hands-on experience with Elasticsearch or similar; understanding of similarity search indexing strategies and embedding management. Linux Systems: Strong command-line skills; shell scripting; system-level monitoring and debugging. Python Programming: Proficient in automation scripting; experience in building AI models data pipelines and OpenAI integrations. Big Data Technologies: Familiarity with Hadoop-based platforms like MapR and Hortonworks.
AI Platform; Production Support Experience supporting predictive AI workloads in production. Troubleshooting across data ingestion model inference and deployment layers. Familiarity with CI/CD pipelines and containerization (Docker Kubernetes). On-call support for GenAI and predictive pipelines (1 week every 6 8 weeks). Understanding of enterprise disaster recovery (DR) solutions including backup and restore.
Observability; Monitoring Ability to define and implement observability strategies for AI systems. Experience with tools such as Splunk Grafana ELK stack OpenTelemetry. Proactive monitoring of model failures latency and system health.
Bonus Qualifications Multi-cloud Experience: Exposure to GCP and Azure environments. Data Science Lifecycle: Involvement in full-cycle projects including problem definition data exploration modeling evaluation training scoring and operationalization. MLOps Principles: Understanding of model lifecycle management and collaboration with data scientists to deploy solutions.
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