MLOps Senior Engineer – Vector/LLDS Database & AI Platform

Cloudious LLC

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profile Job Location:

Irving, TX - USA

profile Monthly Salary: Not Disclosed
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

MLOps Senior Engineer Vector/LLDS Database & AI Platform

Location Charlotte NC & Irving Texas (Onsite day 1)

Contract-6 Months

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

MLOps Senior Engineer Vector/LLDS Database & AI Platform Location Charlotte NC & Irving Texas (Onsite day 1) Contract-6 Months Core Technical Skills Vector Databases: Hands-on experience with Elasticsearch or similar; understanding of similarity search indexing strategies and embeddin...
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