MLOps Senior Engineer Vector/LLDS Database & AI Platform Focus

Overview

On Site
$As per Market
Accepts corp to corp applications
Contract - Long Term

Skills

python
Machine Learning
ElasticSearch
MLOps
GenAI
Vector

Job Details

Job Title: MLOps Senior Engineer Vector/LLDS Database & AI Platform Focus

Location: Charlotte NC & Irving ,Texas (Onsite day X)

Mode Of Hire: Contract

Mode Of Work: Onsite

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 (X week every X X 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 Google Cloud Platform 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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