MLOps Senior Engineer Vector/ LLDS Database & AI Platform
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Job Description
Job Title: MLOps Senior Engineer – Vector/LLDS Database & AI Platform
Location – Charlotte NC & Irving ,Texas (Onsite day 1)
Focus
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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