Number of Vacancies: 1 Duration: 12 months Hours of work: 35 per week Location: Oshawa, ON (Hybrid, 2 day in office - 3 days remote) Resume Due Date: Tuesday, June 9th, 2026 (5:00PM EST) Job Overview
Data Engineer (Databricks) Job Overview As a Data Engineer, you will be responsible for designing, building and supporting the data driven applications which enable innovative, customer centric digital experiences. You will be working as part of a cross-discipline agile
We are currently requesting resumes for the following position: Data Engineer Resume Due Date : Friday, October 10, 2025 (5:00PM EST) Job ID : 25-167 Number of Vacancies : 3 Level : MP4 Duration : 12 Months
Job Overview As an Azure and Databricks Data Engineer, you will be responsible for designing, building and supporting the data driven applications which enable innovative, customer centric digital experiences. Will be working as part of a cross-discipline agile
Job Title : Machine Learning Engineer (Energy) Industry Energy & Utilities Position Overview The ML Engineer will develop and deploy machine learning models supporting predictive maintenance, energy demand forecasting, asset optimization, and renewable energy production analytics.
ML Engineer (BFSI) Job Title: Machine Learning Engineer Position Overview: The ML Engineer will develop, deploy, and optimize machine learning solutions supporting fraud detection, risk analytics, customer intelligence, and financial forecasting. Key Responsibilities: Develop machine learning
Job Title : Machine Learning Engineer (Energy) Industry Energy & Utilities Position Overview The ML Engineer will develop and deploy machine learning models supporting predictive maintenance, energy demand forecasting, asset optimization, and renewable energy production analytics.
Join our innovative team as a Machine Learning Engineer specializing in energy applications. Your role will involve deploying ML models for predictive maintenance and analyzing renewable energy data. This position requires you to build machine learning pipelines
Roles and responsibilities(Full stack Support role) 1. Respond to and triage support questions and support requests from Meta engineers on various Software Engineering Applications. 2. Extract relevant information from log files and other sources to debug,
Take the lead as a Senior Machine Learning Engineer in the energy industry. Your efforts will focus on deploying models for predictive maintenance and energy demand analytics. This position requires you to develop ML pipelines and