MLOps Engineer: Vertex AI & GCP Platform

Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!

Mississauga

On-site

CAD 80,000 - 110,000

Full time

14 days+

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Job summary

A technology solutions company in Mississauga is seeking a skilled MLOps Engineer to build and manage scalable machine learning pipelines on Google Cloud Platform. The role demands expertise in cloud platforms, machine learning engineering, automation scripting, and security compliance. You will be responsible for deploying solutions and enhancing monitoring capabilities using tools like TensorFlow and Kubernetes. Strong programming skills in Python and experience with CI/CD tools are essential. This position offers opportunities to impact innovative projects in a dynamic environment.

Qualifications

  • Expertise in deploying and managing machine learning solutions on cloud platforms.
  • Understanding of cloud services like Vertex AI, Cloud Storage, BigQuery.
  • Proficient in automation and scripting using Python and SQL.

Responsibilities

  • Build and manage scalable machine learning pipelines on GCP.
  • Automate workflows for machine learning solutions.
  • Monitor model performance and ensure compliance with security protocols.

Skills

Cloud platforms expertise
Machine learning engineering
Data pipelines
Automation scripting in Python
Version control with CI/CD
Kubernetes and Docker

Tools

Google Cloud Platform (GCP)
TensorFlow
Keras
PyTorch
scikit-learn
PySpark
Jenkins
Helm Charts
YAML
Prometheus
Grafana

Job description

A technology solutions company in Mississauga is seeking a skilled MLOps Engineer to build and manage scalable machine learning pipelines on Google Cloud Platform. The role demands expertise in cloud platforms, machine learning engineering, automation scripting, and security compliance. You will be responsible for deploying solutions and enhancing monitoring capabilities using tools like TensorFlow and Kubernetes. Strong programming skills in Python and experience with CI/CD tools are essential. This position offers opportunities to impact innovative projects in a dynamic environment.
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