Talent.com
MLOps Senior Engineer Vector / LLDS Database & AI Platform

MLOps Senior Engineer Vector / LLDS Database & AI Platform

iSoftTek Solutions IncIrving, TX, US
job_description.job_card.variable_days_ago
serp_jobs.job_preview.job_type
  • serp_jobs.job_card.full_time
  • serp_jobs.filters_job_card.quick_apply
job_description.job_card.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.

    serp_jobs.job_alerts.create_a_job

    Senior Database Engineer • Irving, TX, US