Top Tech Jobs & Startup Jobs in Montreal

Design, build, and deploy data science, machine learning, and generative AI solutions to improve engineering productivity. Develop data pipelines and model-ready datasets, operationalize AI applications, convert engineering knowledge into reusable resources, and collaborate with cross-functional engineering teams. Mentor junior staff and communicate technical results to stakeholders.

Build high-performance data pipelines, backend services, and scalable infrastructure to connect BrainBox AI's cloud platform with global HVAC systems. Design software, oversee junior developers, write and review advanced code, support production deployments, participate in SCRUM, and develop/maintain algorithms and technical documentation.

Design and implement scalable ML frameworks, productionize and deploy models, build monitoring and drift-detection systems, provide high-level ML programming support, automate workflows, analyze data patterns to improve algorithms, and uphold code quality and testing best practices while collaborating cross-functionally.

Serve as an HR business partner for North American digital teams, delivering HR operations (performance, workforce planning, talent development, compensation, benefits, payroll), ensuring legal compliance, supporting onboarding and leadership development, managing workplace issues and conflict resolution, and guiding cultural integration after acquisitions to boost engagement, inclusion and retention.

Lead and mentor a cross-functional ML Ops team to deploy, scale, and monitor ML/LLM models in production. Design AWS-based infrastructure and microservices using Terraform and managed AWS services, implement model monitoring for drift and performance, enforce software engineering best practices, and collaborate with researchers to transition experimental models to robust production systems.

Deploy, test, commission and troubleshoot AI control algorithms and BMS/HVAC control systems. Perform onsite edge device installation, optimize building energy and comfort, analyze performance/trend logs, train customers, document procedures, and collaborate cross-functionally to improve tools and HVAC control sequences.

Serve as the Building Automation Controls SME for digital deployments, ensuring site readiness, configuring and tuning systems, training customers and Trane teams, troubleshooting controls and network issues, presenting performance analytics (RTA & M&V), mitigating technical risks, and documenting processes to optimize post-deployment outcomes.

Design, develop and maintain microservices and tools to extend an LLM (ARIA). Write advanced Python code, perform unit testing and code reviews, debug AWS-based microservices, collaborate with AI research, document systems, manage project tasks and support deployments, troubleshooting, and maintenance.

Integrate and deploy AI-enabled HVAC controls for building automation: use Python and front-end tools, test and deploy algorithms, support project handoffs, configure BAS/DDC/PLC, document HVAC designs and procedures, and provide post-deployment support across cross-functional teams.

Lead two subgroups (AI Control Integration and AI Control Engineering) to deliver scalable BrainBox AI solutions. Manage integration, deployment, and controls engineering teams; translate strategy into plans; monitor KPIs and dashboards; standardize deployment practices; coordinate cross-functional handoffs; drive process improvements, capacity planning, training, and AI-driven automation to improve operational efficiency and deployment readiness.