MLOps/LLMOps Architect

REQUIREMENTS

7+ years of experience in Machine Learning Engineering or MLOps

3+ years designing production-grade MLOps platforms

Experience with LLM deployment and operationalization

Strong knowledge of MLflow, Kubeflow, Vertex AI, Azure ML, SageMaker or similar platforms

Experience deploying GenAI applications in enterprise environments

Knowledge of RAG architectures, vector databases, model evaluation, and prompt management

Experience with Kubernetes, Docker, CI/CD pipelines

Familiarity with GPU infrastructure

Strong understanding of AI governance and model lifecycle management

Upper-Intermediate or higher level of English

RESPONSIBILITIES

Design enterprise MLOps and LLMOps architecture

Build deployment strategies for AI and LLM solutions

Define model lifecycle management processes

Implement monitoring, observability, and evaluation frameworks

Design CI/CD pipelines for machine learning workloads

Collaborate with AI researchers, platform engineers, and DevOps teams

Support AI governance and security requirements

Advise client stakeholders on operational AI best practices