MLOps Engineer (GCP Specialisation) at Signitives | Torre
MLOps Engineer (GCP Specialisation)
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Signitives

MLOps Engineer (GCP Specialisation)

Signitives
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Full-time

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Shared by
Cata Morales
 4 months ago

Requirements and responsibilities

We are looking for a highly skilled MLOps Engineer with strong expertise in Google Cloud Platform (GCP) to design and manage scalable machine learning infrastructure. Responsibilities include designing and implementing scalable MLOps pipelines on GCP, deploying and managing ML models using Vertex AI, GKE, and Cloud Run, building ETL/ELT data pipelines, working with BigQuery, Dataflow, and Dataproc (PySpark), orchestrating workflows with Cloud Composer (Airflow), implementing CI/CD pipelines, using Terraform for IaC, containerizing with Docker and Kubernetes, monitoring models for performance, drift, and reliability, and collaborating with cross-functional teams for ML lifecycle management. Mandatory Skills: Strong experience in GCP (Vertex AI, GKE, Cloud Run, BigQuery); Strong Python programming skills; Hands-on experience with Docker & Kubernetes; Experience with CI/CD pipelines and Terraform (IaC); Experience with ML frameworks (TensorFlow / PyTorch / Scikit-learn); Strong knowledge of ETL/ELT pipelines; Experience with Dataflow, Dataproc (PySpark), and BigQuery; Understanding of MLOps lifecycle and model deployment.
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