MLOps Architect: Scalable AI Pipelines

TechDigital Group; San Jose (CA); On-site; USD 120,000 - 150,000; Full time

Job summary

TechDigital Group is seeking a skilled MLOps Architect to join our team in San Jose, California. You will be pivotal in building and maintaining robust machine learning systems, focusing on the full lifecycle of ML pipelines from data ingestion to model serving.

Applicants should have extensive experience with Google Cloud Platform services and a proven track record in designing and implementing end-to-end ML workflows. Knowledge of Docker and CI/CD practices is essential. Join us in shaping the future of AI!

Qualifications

• Strong experience with Google Cloud Platform services in the MLOps and ML domain.
• Hands-on experience with containerization technologies like Docker.
• Familiarity with CI/CD practices and pipeline automation.

Responsibilities

• Design and manage automated data ingestion and validation pipelines.
• Implement feature engineering logic for diverse datasets.
• Configure and manage low-latency production serving environments.

Skills

Google Cloud Platform

MLOps

Machine Learning

Kubernetes

Docker

Continuous Deployment

TensorFlow

Tools

Vertex AI

Kubeflow

Cloud Storage

Artifact Registry

CI/CD

Job description

TechDigital Group is seeking a skilled MLOps Architect to join our team in San Jose, California. You will be pivotal in building and maintaining robust machine learning systems, focusing on the full lifecycle of ML pipelines from data ingestion to model serving.

Applicants should have extensive experience with Google Cloud Platform services and a proven track record in designing and implementing end-to-end ML workflows. Knowledge of Docker and CI/CD practices is essential. Join us in shaping the future of AI!