Description

You will build and maintain the infrastructure for machine learning pipelines.

Responsibilities

• Implement and manage MLOps workflows using Databricks.
• Orchestrate and deploy ML models using Kubeflow and MLflow.
• Automate infrastructure provisioning using Terraform.
• Manage containerized services using Docker and Kubernetes.

Required Skills

• 6+ years of experience in MLOps practices.
• Proficiency with Databricks and Apache Spark.
• Experience with MLflow and Kubeflow.
• Strong command of Kubernetes and Docker.
• Proficiency in infrastructure as code using Terraform.
• Experience with cloud environments (Azure, GCP).
• Familiarity with GitOps principles.

Key Skills

Education

Any Graduate