MLOps / AI Platform Engineer

VDS Consulting GroupWest Palm Beach, FL
24d

About The Position

In the Contract MLOps / AI Platform Engineer role at Value Driven Solutions, you'll construct resilient, shared AI infrastructures that empower multiple portcos to collaborate securely—think private VPCs with feature stores (Feast), model registries (MLflow), and LLM gateways (LiteLLM)—while isolating sensitive data and controlling costs to under 20% of projected savings. Up to 75% travel for infrastructure handoffs, you'll audit existing stacks for scalability gaps and architect platforms supporting 100+ models, enabling rapid experimentation and deployment that accelerates value capture by 25%. Focus on automation: IaC with Terraform, monitoring with Prometheus/Grafana, and CI/CD via GitHub Actions, ensuring zero-downtime updates and compliance (SOC2, audit logs). You'll optimize for multi-tenancy, federated access, and cost governance (spot instances, pruning), validating via load tests and presenting TCO analyses to CFOs. For platform wizards who've industrialized MLOps in federated environments. VDS's shared services model amplifies your build's reach.

Requirements

  • Bachelor's in CS/Eng; 5+ years MLOps, 2+ in shared platforms.
  • Expertise: Kubernetes, Kubeflow, AWS/GCP services.
  • Proven: >50% infra cost reductions in prod.
  • DevSecOps fluency and troubleshooting.
  • Collaborative for multi-team alignments.

Nice To Haves

  • Platforms for PE with data isolation.
  • LLM-specific ops (vLLM, TGI).
  • Integrations with MES/ERP.

Responsibilities

  • Design 24-month platform roadmaps, aligning with portco tech stacks.
  • Implement core components: orchestration, versioning, serving, and observability.
  • Ensure security/scalability: RBAC, encryption, auto-scaling.
  • Migrate legacy pipelines and benchmark performance/costs.
  • Document and train for handover, fostering self-service.
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