About Us Mafna Air Technologies Inc. is a Canadian company and one of the leaders in providing custom Air Handling Solutions and HVAC Equipment across the US, Canada, and international markets. For over 20 years, Mafna
Company Description Miratech helps visionaries change the world. We are a global IT services and consulting company that brings together enterprise and start-up innovation. Today, we support digital transformation for some of the worlds largest enterprises.
Software Design Team Lead Location: Cambridge, ON | On-site Job Type: Full-time Compensation: $50.00 - $60.00 / hr Benefits: RRSP, health/dental/vision package, reimbursement for tuition and professional dues, paid vacation, personal days, and sick days The
Data Scientist WHATS IN IT FOR YOU Benefits: Compensation: $88,000 - $121,000 Annual Performance-Based Incentive Bonus 5% RRSP match Stock purchase plan Starting 3 weeks of vacation Benefits package (health and dental) + $600 health spending
A leading air handling solutions provider located in Canada seeks a talented Programming & Application Developer to join their engineering and technology team. The ideal candidate will have a minimum of 2 years of experience in software
Data Scientist Compensation and Benefits $88,000 - $121,000 Annual Performance-Based Incentive Bonus 5% RRSP match Stock purchase plan Starting 3 weeks of vacation Benefits package (health and dental) + $600 health spending account Half-Day Fridays Continuous
Job details Location: 1680 Bishop Street North, Cambridge, ON N1R 7J3 Salary: 47.00 hourly / 40 hours per week Terms of employment: Permanent employment, full time Shift types: Early morning, Morning, Day, Evening, Weekend, Shift, On
About Employee Ownership Canada Our client, Employee Ownership Canada, is the national advocate for broad-based employee ownership. Known since the 1990s as ESOP Association Canada and now EOC following a 2023 merger, it is the central
Project description We are looking for an experienced AI Engineer to design and deliver scalable Gen AI solutions. The role involves building production-ready AI products using Python, React, and AWS, while leveraging modern architectures such as