Senior Applied Ai Specialist – Industrial Systems (Laval)

Senior Applied Ai Specialist – Industrial Systems (Laval)

19 Oct
|
MMC Packaging
|
Laval

19 Oct

MMC Packaging

Laval

MMC - Leading Class Automation Solutions for the Caps and Closures IndustrySenior Applied Artificial Intelligence Specialist - Industrial SystemsMMC 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 ResponsibilitiesComputer Vision & AI Applied to Industrial Quality InspectionDesign, 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.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.Strategic Advisory RoleAct 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 SkillsComputer 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.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.RequirementsMaster's degree in AI, Data Science, or equivalent fieldMinimum 3 years relevant experience in applied AI systems developmentAt least 2 years in manufacturing industries with an OEMValid work permit (Permanent Residency or Canadian Citizenship)$41.91 - $49.10 per hourLanguagesFrench and English (professional level)Spanish and German (considered significant assets)Full-Time PermanentGroup InsuranceCompany EventsEmployee Assistance ProgramOn-site ParkingNOC Code21211 - Data ScientistsMMC 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 profitabilityPension plan and group RRSPGroup insurance planWork-life balanceCompetitive working conditionsThe incumbent is responsible for machining parts on conventional machines. He/she will perform the following tasks:Read and interpret blueprintsPrepare and machine parts on conventional machinesControl the quality of the part and/or prototypeParticipate in various improvement projectsResponsibilitiesPrepare and machine parts on conventional machines

📌 Senior Applied Ai Specialist – Industrial Systems (Laval)
🏢 MMC Packaging
📍 Laval

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