Contract on W2 Only :: AIML Senior Platform Support Engineer – Vector/LLDS Database & AI Platform Focus -- Charlotte, NC & Irving, TX (Onsite)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a long-term contract for an AIML Senior Platform Support Engineer focused on Vector/LLDS Database & AI Platform in Charlotte, NC & Irving, TX. Requires expertise in Elasticsearch, Linux, Python, and big data technologies, with production AI support experience.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
September 18, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
On-site
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πŸ“„ - Contract type
W2 Contractor
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Irving, TX
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🧠 - Skills detailed
#Kubernetes #Monitoring #Databases #Splunk #AI (Artificial Intelligence) #Scripting #Debugging #Elasticsearch #GCP (Google Cloud Platform) #Automation #Deployment #Indexing #Observability #Data Exploration #Disaster Recovery #Python #Azure #Big Data #Docker #Shell Scripting #Cloud #Programming #Grafana #Data Science #Hadoop #Data Pipeline #Linux #Data Ingestion
Role description
Hi , Hope you are doing great! We have the below urgent position with my client. Please reply if you are interested. Job Title: AIML Senior Platform Support Engineer – Vector/LLDS Database & AI Platform Focus Location : Charlotte, NC & Irving, TX (Onsite) Long Term Contract Core Technical Skills β€’ Vector Databases: Hands-on experience with Elasticsearch or similar; understanding of similarity search, indexing strategies, and embedding management. β€’ Linux Systems: Strong command-line skills; shell scripting; system-level monitoring and debugging. β€’ Python Programming: Proficient in automation scripting; experience in building AI models, data pipelines, and OpenAI integrations. β€’ Big Data Technologies: Familiarity with Hadoop-based platforms like MapR and Hortonworks. AI Platform & Production Support β€’ Experience supporting predictive AI workloads in production. β€’ Troubleshooting across data ingestion, model inference, and deployment layers. β€’ Familiarity with CI/CD pipelines and containerization (Docker, Kubernetes). β€’ On-call support for GenAI and predictive pipelines (1 week every 6–8 weeks). β€’ Understanding of enterprise disaster recovery (DR) solutions including backup and restore. Observability & Monitoring β€’ Ability to define and implement observability strategies for AI systems. β€’ Experience with tools such as Splunk, Grafana, ELK stack, OpenTelemetry. β€’ Proactive monitoring of model failures, latency, and system health. Bonus Qualifications β€’ Multi-cloud Experience: Exposure to GCP and Azure environments. β€’ Data Science Lifecycle: Involvement in full-cycle projects including problem definition, data exploration, modeling, evaluation, training, scoring, and operationalization. β€’ MLOps Principles: Understanding of model lifecycle management and collaboration with data scientists to deploy solutions. Thanks, and Regards Saurabh Kumar | Lead Recruiter saurabh.yadav@ampstek.com | www.ampstek.com https://www.linkedin.com/in/saurabh-kumar-yadav-518927a8/ Call to : +1 609-360-2671