Data Engineer
Core
Design, operate, and evolve an AIOps platform to ensure AI products run reliably, scalably, and cost-efficiently.
Role type
Senior MLOps / AIOps / LLMOps Engineer
Builds
Production-ready AI infrastructure, observability pipelines, and automated deployment systems for ML/LLM models.
Domain
Cloud Infrastructure & AI Operations
Deliverable
infrastructure
Required skills
MLOps/AIOps/LLMOps expertise, AWS/Azure production experience, Kubernetes/Docker, CI/CD pipelines, Infrastructure as Code (Terraform/Bicep), Python, ML/LLM lifecycle knowledge, observability tools (Prometheus/OpenTelemetry)
Preferred skills
SageMaker/Azure ML/MLflow, Speech Analytics (ASR/NLP), FinOps, LLM frameworks (LangChain/LlamaIndex), Workflow orchestration (Airflow/Argo)
Technologies
AWS, Azure, Kubernetes, Docker, GitHub Actions, GitLab CI, Terraform, Bicep, Prometheus, Grafana, OpenTelemetry, Python, LangChain, LlamaIndex
Responsibilities
Design and maintain the AIOps platform for ML/LLM pipelines; Implement LLMOps practices including evaluation, prompt management, and agent orchestration; Manage cloud deployments and container platforms; Monitor model quality, performance, and drift; Optimize cloud costs for AI workloads; Collaborate with Data Scientists to productionize AI solutions.
Seniority
Senior, hands-on IC
