MLOps Senior Engineer – Vector/LLDS Database & AI Platform Focus in Charlotte, NC

[Mohammad Sazid]

Hello 

Please check the below position and reply back with the details and updated resume if you are interested.

 

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

Location: North Carolina

Duration: Longterm

 

Visa – All Visa Except GC (No GC Please)

Passport Number is mandatory

 

10+ Years of experience required

 

 

This role is not for an AIML developer. looking for—someone who can support the platforms our developers use, rather than build AI/GenAI solutions themselves.

 

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.

Thanks,

Max | KLNtek

Lead - Recruitment

Email: m...@klntek.com

US: +1(315) 274-2836

India: +91-9502141494

324 E Foothill Blvd, Ste 206, 91006 Arcadia, California