Vertex AI ML Engineer for Scalable GCP Pipelines

Tiger Analytics; Canada; On-site; CAD 85,000 - 120,000; Full time

Job summary

A leading analytics firm in Canada is seeking a skilled Machine Learning Engineer to design, build, and deploy scalable ML solutions. The role involves optimizing ML models with Vertex AI, utilizing GCP services, and developing APIs for real-time inference. Candidates should have deep knowledge of Python, advanced generative AI, and a passion for building innovative solutions. This position offers significant career development opportunities in a fast-paced environment.

Benefits

Significant career development opportunities

Entrepreneurial environment

High degree of individual responsibility

Qualifications

• Hands-on experience with Google Cloud Platform (GCP) and Vertex AI.
• Expert in Python with strong OOP and functional programming skills.
• Deep knowledge of advanced generative AI.
• Strong understanding of GCP cloud architecture.

Responsibilities

• Develop, train, and optimize ML models using Vertex AI.
• Design and build scalable ML pipelines.
• Deploy models to production and integrate with APIs.
• Collaborate with various teams for ML workflows.

Skills

Machine Learning

Python

Google Cloud Platform (GCP)

Vertex AI

TensorFlow

PyTorch

scikit-learn

BigQuery

Flask

FastAPI

Tools

Vertex Pipelines

Cloud Functions

Pub/Sub

Cloud Storage

Dataflow

Docker

Job description

A leading analytics firm in Canada is seeking a skilled Machine Learning Engineer to design, build, and deploy scalable ML solutions. The role involves optimizing ML models with Vertex AI, utilizing GCP services, and developing APIs for real-time inference. Candidates should have deep knowledge of Python, advanced generative AI, and a passion for building innovative solutions. This position offers significant career development opportunities in a fast-paced environment.