ML Platform Engineer
ClifyX
AI/ML Infrastructure Engineer
A hands-on engineer who can build and scale AI/ML infrastructure, ensuring reliable pipelines, versioning, monitoring, and deployment. Think DevOps for AI – the glue between AI engineers and data infrastructure.
5+ years in DevOps/MLOps or AI platform engineering
Expert in containerized workloads (Kubernetes, Docker) and orchestration (Airflow, MLflow, Kubeflow)
Can deploy and monitor models in cloud AI stacks (SageMaker, Azure ML, Vertex AI)
Solid Python engineering, CI/CD automation, security-first mindset
Understands data pipelines & feature stores
Mandatory skills: ML, containerized workloads (Kubernetes, Docker) and orchestration (Airflow, MLflow, Kubeflow)
Desired skills: Azure
Domain: Logistics
Approx. vendor billing rate: 12000 INR /Day
Work Location: Remote
Vacancy posted 4 days ago
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