Senior Buyer

MMC PACKAGING EQUIPMENT LTD. ("MMC"), an IMD-Group company, develops and markets automation technologies for the packaging industry. The company is located at 2030 Boulevard Dagenais Ouest in Laval, Quebec, H7L 5W2.

For over 35 years, we have designed emerging solutions that shape the future of post-molding automation. For our clients established around the world, we imagine new systems that improve their products and modernize their operations. Our distinctive solutions and specialized advisory services aim to make manufacturers innovative by creating integrated equipment tailored to their needs.

But the real value of our organization is neither in the machines nor the software we develop. It lies in our people — authentic and humble people, talented and hard-working, and above all, passionate people! Passionate about customer satisfaction through a collaborative approach, transcendent innovation, and absolute respect for commitments. That is what sets us apart.

We are looking for a Senior Buyer with strong tactical abilities and good skills with information systems to join our procurement department (NOC Code 12102 – Procurement and Purchasing Agents).

Responsibilities

Reporting to the supply chain department, this person will be mandated to:

• Perform all project purchases related to automated equipment materials (machined parts, sheet metal, pneumatics, electrical, electronics, etc.) to meet operational needs while respecting deadlines, costs, and required quality.
• Request and evaluate supplier quotations.
• Perform release transactions in our internal or external databases, and if external, prepare and confirm purchase orders for raw materials, externally manufactured parts, components, and finished products.
• Produce printouts (if internal), drawings, and labels for distribution to the manufacturing department.
• Manage various service contracts (sourcing, quotation, review of terms and conditions, negotiation, final agreement).
• Manage Kanban (cards / needs analysis / orders).
• Manage internal requests.
• Manage automatic replenishments.
• Conduct proactive follow-up for all open purchase orders and ensure delivery dates are met.
• Interact with the various departments (Engineering, Project Management, Manufacturing, Assembly) requiring Purchasing involvement.
• Manage local supplier transportation.
• Resolve non-conforming delivery issues (non-conforming returns, supplier credits, etc.).
• Take charge of several continuous improvement initiatives within the department and cross-departmentally.
• Ensure cost optimization of current standard products or new products (new sourcing, negotiation, lot optimization, supplier agreement, etc.).
• Create and/or update departmental and cross-departmental processes.
• Develop new strategic local and/or international suppliers.
• Actively participate in the potential ERP system change over the next 3 years.
• Mentor, train, support, and develop colleagues in the Purchasing department as needed.

Requirements

• Valid work permit (Permanent Residency or Canadian Citizenship).
• University degree in Purchasing Management.
• 5-10 years of experience in a Buyer position.
• Experience in service contract management.
• Experience in project purchasing management.
• Understanding of technical drawings (machining, sheet metal).
• Proficiency with software systems such as Access, Excel, Power BI, Power Automate, Monday.
• Knowledge of the Virtuo system (order management).
• Local and European supply chain experience.
• Proficiency in English and French, both oral and written, to interact with our clients around the world.
• Ability to manage multiple files.
• Rigorous, autonomous, with good synthesis skills.
• Good priority management.
• Ability to manage multiple requests simultaneously.
• Ability to work in a team and under pressure.
• Strong communication skills with peers.

Senior Applied Artificial Intelligence Specialist – Industrial Systems

MMC Packaging Equipment is seeking a Senior Applied Artificial Intelligence Specialist to serve as the sole technical lead in artificial intelligence and data science within the company. The incumbent designs, develops and deploys end-to-end AI systems for two main areas of activity — automated visual inspection using machine vision and conversational/agentic systems based on large language models (LLMs) — while providing strategic advisory to non-technical teams.

This position requires high-level applied research expertise: the individual must not be limited to integrating existing models or tools as "black boxes," but must be able to understand them in depth, modify them, adapt them, and even develop custom solutions (models, protocols, internal tools) when nothing adequate exists on the market.

Key Responsibilities

1. Computer Vision & AI Applied to Industrial Quality Inspection

• Design, train, and optimize object detection and anomaly detection/classification models for automated visual inspection of parts on high-speed production lines, going beyond the use of pretrained models (architecture modification, fine-tuning, custom development as needed).
• Develop and maintain an optical character and symbol recognition pipeline and a proprietary inference library optimized for real-time embedded deployment, with strict speed and accuracy requirements.
• Implement MLOps practices and internal tools to support the complete project lifecycle, from data collection and preparation to production deployment at client sites.
• Act as the primary resource for conducting feasibility studies, developing new digital inspection features for custom applications, deploying these solutions in client environments, and providing technical support during the operational phase.

2. Large Language Models (LLM), RAG & Autonomous AI Agents

• Design, develop and maintain fully self-hosted RAG (Retrieval-Augmented Generation) systems and enterprise conversational agents, with no dependency on third-party LLM providers in production.
• Develop agentic systems capable of autonomous actions, including specialized multi-agent architectures, with response quality monitoring mechanisms.
• Develop tools and servers compliant with the MCP (Model Context Protocol) to connect AI agents to business software where no existing or adequate integration solution exists on the market.

3. Strategic Advisory Role

• Act as the company's sole technical reference in artificial intelligence and data, advising management and operational teams on the feasibility and approaches of planned projects.
• Translate complex technical concepts for non-specialist audiences and convert business needs into realistic technical solutions adapted to the company's real constraints.

Required Technical Skills

• Languages & Environments: Python (advanced), C/C++ (advanced, real-time production environment), JavaScript/TypeScript basics for interface development.
• Computer Vision & Deep Learning: PyTorch, TensorFlow, object detection and segmentation architectures (YOLO family or equivalent), visual anomaly detection, OCR, model training/fine-tuning/architecture modification, data augmentation.
• Real-time Industrial System Integration: Industrial cameras, industrial communication protocols, production line speed constraints.
• Embedded Model Optimization & Deployment: Model quantization (dynamic and training-time), multi-runtime export and execution (ONNX Runtime, OpenVINO, TensorRT and equivalent GPU/CPU inference engines), real-time inference optimization, CPU and GPU (CUDA) exploitation.
• MLOps: Model and dataset versioning, CI/CD applied to AI, experiment tracking tools (MLflow type).
• LLM, RAG & Agentic Systems: RAG system design, vector databases and hybrid search, LLM/agent orchestration frameworks (LangChain, LangGraph, LlamaIndex), deployment and optimization of self-hosted open-source language models, LLM quantization, MCP-compliant tool/server development.
• Software Engineering: API design, containerization, relational and vector database management, version control, automated testing.
• Applied Research Autonomy: Demonstrated experience carrying applied research projects end-to-end (design to production deployment), with full autonomy and without direct technical supervision.
• Bilingualism: Professional French and English (oral and written) for collaboration with international technical resources and technical documentation.

Machinist – Conventional Machines

MMC Packaging Equipment Ltd. is a world leader in the design and manufacturing of post-molding automated equipment. We care deeply about the quality of life of everyone who joins our team.

We demonstrate this commitment through:

- Bonus plan based on company profitability
- Pension plan and group RRSP
- Group insurance plan
- Work-life balance
- Competitive working conditions

The incumbent is responsible for machining parts on conventional machines. He/she will perform the following tasks:
- Read and interpret blueprints
- Prepare and machine parts on conventional machines
- Control the quality of the part and/or prototype
- Participate in various improvement projects