About the company
Vriba LLC is looking for an experienced AI/MLOps Platform Engineer to deliver and operate enterprise AI platforms for production and mission-critical workloads.
Responsibilities
- Design, implement, and operate enterprise-grade AI/MLOps platforms
- Ensure AI platforms are scalable, highly available, secure, observable, and reliable
- Automate ML/AI deployment, monitoring, evaluation, governance, and operations
- Enable enterprise adoption of Generative AI and Agentic AI capabilities
- Implement LLMOps, model monitoring, quality evaluation, and hallucination detection
- Drive cloud-native platform engineering across Azure, GCP, and AWS
- Collaborate with AI/ML engineers, data scientists, application, cloud, and security teams
- Continuously improve platform reliability, automation, and AI workload cost optimization
Requirements
- Expertise building production-grade AIOps and MLOps platforms
- Hands-on with Vertex AI, Azure ML, SageMaker, or equivalent
- CI/CD and Continuous Training pipelines for ML models
- ML lifecycle automation: feature stores, model registry, experiment tracking, deployment automation
- Experience with Kubeflow, MLflow, Argo Workflows
- IaC with Terraform, Bicep, Cloud Deployment Manager
- Drift detection, model performance monitoring, alerting
- LLM quality evaluation and hallucination monitoring
- Kubernetes administration across AKS, GKE, EKS
- GitHub Actions, Azure DevOps, GitOps
- Agentic AI: LangGraph, CrewAI, AutoGen, Semantic Kernel Agents; tool calling, agent memory, human-in-the-loop
- Generative AI: OpenAI, Azure OpenAI, Gemini, Claude, open-source LLMs; prompt engineering, RAG, vector databases, LangChain, LlamaIndex
Nice to have
- AI FinOps: cost optimization, GPU utilization, token consumption, chargeback/showback
- Multi-cloud SRE: SLOs, SLIs, error budgets, Prometheus, Grafana, Datadog
Conditions
- Paid Time Off
- Training & Development
- Competitive compensation package
- Professional development opportunities
- Collaborative team environment