MLOps / AI Platform Engineer at VDS Consulting Group

West Palm Beach, Florida, United States -

Full Time

Start Date

Immediate

Expiry Date

01 Mar, 26

Salary

0.0

Posted On

01 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

MLOps, AI Platforms, Kubernetes, Kubeflow, AWS, GCP, Terraform, Prometheus, Grafana, CI/CD, DevSecOps, Multi-tenancy, Data Isolation, LLM Operations, Cost Governance, Automation

Industry

Business Consulting and Services

Description

Contract MLOps / AI Platform Engineer 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. Key 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. Required Qualifications: 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. Preferred Experience: Platforms for PE with data isolation. LLM-specific ops (vLLM, TGI). Integrations with MES/ERP. To apply: Send CV + short note on the specific impact you’ve driven with MLOps in private-equity or industrial settings to talent@valuedrivensolutions.com. Include role title in subject line and your availability. Leadership Solutions – Value Driven Solutions Accelerating Agentic AI adoption in private equity portfolio

Responsibilities

Design and implement platform roadmaps and core components for MLOps infrastructure. Ensure security, scalability, and performance while documenting processes for self-service handover.