We are seeking a highly skilled MLOps Engineer to design, deploy, and manage machine learning pipelines in Google Cloud Platform (GCP)
Job Summary
We are seeking a highly skilled MLOps Engineer to design, deploy, and manage machine learning pipelines in Google Cloud Platform (GCP).
In this role, you will be responsible for automating ML workflows, optimizing model deployment, ensuring model reliability, and implementing CI/CD pipelines for ML systems.
You will be interacting with multiple technical teams, including architects and business stakeholders to develop state of the art machine learning systems that create value for the business.
Matching Summary
We are seeking a highly skilled MLOps Engineer to design, deploy, and manage machine learning pipelines in Google Cloud Platform (GCP).
Skills & Requirements
Must-have
Python, SQL
MLOps practices and concepts
GCP tools (Vertex AI, GKE, BigQuery)
Kubernetes (GKE)
Terraform
CI/CD pipelines for ML systems
Nice-to-have
Agile environment
Lean Agile principles
Cloud Billing familiarity
NLP, Gen AI, LLM applications
Key Requirements
Bachelor’s Degree in a quantitative field or equivalent job experience