Find your dream job faster with JobLogr
AI-powered job search, resume help, and more.
Try for Free
VDS Consulting Group

VDS Consulting Group

via Jazzhr

All our jobs are verified from trusted employers and sources. We connect to legitimate platforms only.

MLOps / AI Platform Engineer

Anywhere
Contract
Posted 11/30/2025
Direct Apply
Key Skills:
MLOps
Kubernetes
Kubeflow
AWS
GCP
Terraform
Prometheus
Grafana
GitHub Actions
DevSecOps
IaC
CI/CD
RBAC
Encryption
Auto-scaling

Compensation

Salary Range

$Not specified

Responsibilities

Design and implement scalable, secure AI platforms with orchestration, versioning, serving, observability, and migrate legacy pipelines while ensuring cost governance and compliance.

Requirements

Bachelor's in CS/Engineering, 5+ years MLOps experience including 2+ years on shared platforms, expertise in Kubernetes, Kubeflow, AWS/GCP, proven infrastructure cost reduction, and DevSecOps fluency.

Full 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

This job posting was last updated on 12/5/2025

Ready to have AI work for you in your job search?

Sign-up for free and start using JobLogr today!

Get Started »
JobLogr badgeTinyLaunch BadgeJobLogr - AI Job Search Tools to Land Your Next Job Faster than Ever | Product Hunt