AIML Senior Platform Support Engineer

Hi, Role: AIML Senior Platform Support Engineer Location : Charlotte NC & Irving ,Texas (Onsite day 1) Responsibilities: MLOps Senior Engineer – Vector/LLDS Database & AI Platform Focus 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 AImodels, 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, Open Telemetry. • 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. Thanks & Regards.., Arun Prasath 704-412-4724 arun@reveilletechnologies.com