MLOps Senior Engineer – VectorLLDS Database & AI

Charlotte, VT - USA

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

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.

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: Pro...