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- ...protocols, and stablecoin mechanisms. Demonstrated ability to write secure, gas-optimized code with attention to edge cases and attack vectors. Experience with version control (Git) and collaborative development workflows. Preferred Qualifications Prior...
- ...and respond to security events, including triage, containment, and recovery. Perform root cause analysis, threat attribution, and vector identification. Document incidents in accordance with standardized procedures and escalation protocols. Conduct proactive...
- ...Investigate, contain, and resolve security anomalies and events. Perform threat attribution. Identification of likely threat vector for security events and incidents. Minimum Qualifications Experience working with multiple SIEM, EDR, Log Aggregators, and Incident...
- ...Dashboards within Databricks to monitor KPIs, data pipeline health, and operational SLAs. Prepare GenAI-compatible datasets: manage vector embeddings, index with Databricks Vector Search, and use Feature Store with MLflow. Package and deploy pipelines using...
- ...automation or content generation at scale AI sales agents / outbound automation CRM automation (Zoho, HubSpot, GoHighLevel) Vector databases / RAG systems Basic scripting (JS or Python) Experience in finance, property, or lead-gen businesses...
- ...sources Clean and transform data using Python and Pandas Normalize structured and unstructured data for AI use Implement vector indexing and similarity search using OpenAI, Vertex AI, or other embedding models Cloud Automation Implement workflows using...
- ...chaining, and autonomous agent design. Excellent analytical, problem-solving, and collaboration skills. Preferred Skills Experience with vector search, memory stores, and tool integration for agents. Familiarity with Microsoft Copilot extensibility and plugin development....
- ...Dashboards within Databricks to monitor KPIs, data pipeline health, and operational SLAs Prepare GenAI-compatible datasets: manage vector embeddings, index with Databricks Vector Search, and use Feature Store with MLflow Package and deploy pipelines using Databricks...
