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 anddebugging.
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 andHortonworks.
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 andrestore.
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 withdata scientists to deploy solutions.