GCP Vertex AI ML Engineer — End-to-End ML Pipelines

Tiger Analytics, LLC; Canada; Remote; CAD 80,000 - 110,000; Full time

Benefits offered by this job

Career development opportunities

Collaborative work environment

Entrepreneurial culture

Job summary

A growth-oriented analytics firm in Canada is seeking a skilled Machine Learning Engineer to design, build, and deploy scalable ML solutions. The ideal candidate will have hands-on experience with Google Cloud Platform and Vertex AI, capable of driving the ML lifecycle from model training to production deployment. This position offers significant career development opportunities in a fast-paced, entrepreneurial environment.

Qualifications

• Hands-on experience in developing and optimizing ML models.
• Proficient in designing end-to-end AI systems and APIs.
• Knowledge of CI/CD principles applied to ML.

Responsibilities

• Develop, train, and optimize ML models using Vertex AI.
• Design scalable ML pipelines for efficient processing.
• Document architecture decisions and model lifecycle.

Skills

Expert in Python

Hands-on experience with Google Cloud Platform

Experience with ML/DL libraries

Proficiency in RESTful API design

Strong OOP and functional programming skills

Ability to design scalable systems

Tools

TensorFlow

PyTorch

Google Cloud Storage

FastAPI

Flask

Job description

A growth-oriented analytics firm in Canada is seeking a skilled Machine Learning Engineer to design, build, and deploy scalable ML solutions. The ideal candidate will have hands-on experience with Google Cloud Platform and Vertex AI, capable of driving the ML lifecycle from model training to production deployment. This position offers significant career development opportunities in a fast-paced, entrepreneurial environment.