Description

You will design and implement scalable MLOps data pipelines for ingestion, processing, and storage.

This role is on-site.

Responsibilities

• Design and implement scalable MLOps data pipelines.
• Handle data ingestion, processing, and storage workflows.
• Deploy machine learning models using Vertex Pipelines, Kubeflow, or similar platforms.
• Maintain and optimize model serving infrastructure.

Required Skills

• 5+ years of experience in software engineering or data infrastructure.
• Python programming.
• SQL for data querying and management.
• Docker for containerization.
• Kubernetes for orchestration.
• MLOps practices and tooling.
• Machine Learning and LLM concepts.
• Google Cloud Platform (GCP).
• FastAPI or Flask for API development.

Key Skills

Education

Any Gradute