Overview

Location: Mississauaga, Ontario, Canada

Date published: 28-May-2025

Job ID: 144956

Description and Requirements

Work Location: 100% Onsite 

Position Type: Contract 6 Months

Location: Mississauga, ON

Compensation Range: $43 - $47/Hour


Our client, a multinational technology company specializing in Information Technology Services and Consulting, is seeking a Data Engineer (MLOps  & Data Engineering).


Role Description:


  • Knowledge of CI/CD tools Looper pro/Jenkins.
  • Model versioning, continuous training, and deployment using Vertex AI pipelines.
  • Google Cloud Platform (GCP) services:
  • AI Platform (Vertex AI), Cloud Storage, BigQuery, Cloud Functions, Cloud Pub/Sub, Cloud Build, Airflow, and Cloud Run.
  • Element Platform visibility

Qualifications:

  • ML ops  & Data Engineering:
  • Exp range: 4 – 6 years
  • Understanding of ML concepts and LLM’s (training, validation, hyperparameter tuning, evaluation).
  • Experience with TensorFlow, Keras, PyTorch, and scikit-learn.
  • Data preprocessing, ETL, and data pipelines using pyspark/Scala using serverless dataproc
  • Knowledge of CI/CD tools Looper pro/Jenkins.
  • Model versioning, continuous training, and deployment using Vertex AI pipelines.


Req Skills:


  • Deep Learning
  • Jenkins



All interested applicants who meet the qualifications listed above are invited to submit a resume by clicking "Apply Now".


The indicated pay range for this position is a good-faith estimate based on the qualifications necessary for the position, including experience, training, and other considerations permitted by law. Additionally, it is emphasized that the pay band mentioned herein is the one established by the client company. Factors that may be used when making an offer may include a candidate’s skills, experience and geographic location, the expected quality and quantity of work. Most candidates will start at the bottom half of the pay range, with the upper end reserved for candidates with extensive experience and skills and who live in geographic markets commanding a higher starting pay. An employee’s pay history will not be a contributing factor where prohibited by local law.

This information is subject to change and serves as a general guideline for compensation discussions. Actual offers may vary based on specific circumstances and company policies.