chelle de rmunration : $170,000 - $200,000 CAD Clause de non-responsabilit relative la rmunration: La fourchette salariale indique reflte la rmunration de base pour ce poste chez Groupe Altus et est fournie lorsque les rglementations locales lexigent.

Les offres relles peuvent varier en fonction de lexprience, des conditions du march et dautres facteurs pertinents.

La fourchette ninclut pas les autres formes de rmunration telles que les primes, lquit, les avantages sociaux ou autres incitatifs.

Job Summary: This role will lead the design, development, and production deployment of advanced AI and machine learning capabilities across a commercial real estate SaaS platform.

The position combines hands-on technical leadership with applied research, building both LLM-powered features and custom domain-specific models.

The role partners closely with engineering, product, data, and architecture teams to translate complex business problems into scalable AI solutions, while establishing standards, infrastructure, and best practices for AI development across the organization.

Key Responsibilities: Architect and implement AI-powered features across the SaaS platform, including agentic workflows, intelligent data extraction, and analysis capabilities Lead research and development of custom AI/ML models tailored to the commercial real estate domain Evaluate fine-tuning foundation models versus building domain-specific models from scratch Establish technical standards, patterns, and best practices for AI/ML development across feature teams Lead hands-on development of complex AI systems, including LLM integrations, RAG architectures, and multi-agent orchestration Design and implement model training pipelines, experiment tracking, and model versioning infrastructure Make build-versus-buy decisions for AI tooling and frameworks, balancing innovation with pragmatism Design scalable infrastructure for AI workloads, including model serving, inference optimization, and GPU resource management Partner with engineering and architecture leaders to identify AI opportunities and guide implementation Collaborate with Platform, Data, and Analytics teams to ensure access to high-quality, unified data Work with product managers to translate business requirements into technical AI solutions Mentor engineers on AI/ML techniques, prompt engineering, and agentic frameworks Drive the technical roadmap for AI capabilities across applied LLM work and custom model development Lead research initiatives advancing CRE-specific AI applications Champion AI adoption through internal knowledge-sharing initiatives such as the AI Guild Evaluate emerging AI technologies and research, leading proofs-of-concept where appropriate Establish experimentation frameworks for rapid iteration and A/B testing of AI features Contribute to the AI/ML community through publications, blogs, or open-source work Define governance models, quality gates, testing strategies,



and safety measures for AI systems Create documentation and runbooks to support reliable operation of AI-powered features Balance rapid innovation with responsible AI practices and risk management Key Qualifications: 8+ years of product engineering experience, with at least 3 years focused on production AI/ML systems Proven experience training, evaluating, and deploying custom ML models in production environments Hands-on experience with both LLM-powered applications and traditional ML model development Deep understanding of model architectures, training methodologies, and optimization techniques Strong software engineering fundamentals, including system design, APIs, and cloud architectures Experience leading technical initiatives across teams or operating at staff or tech lead level Active hands-on coder with ongoing experience writing production code and training models Publication record (academic papers, patents, or significant open-source contributions) is a strong plus Expert-level knowledge of ML fundamentals, including neural networks, transformers, and optimization algorithms Deep experience with deep learning frameworks such as PyTorch, Tensor

Flow, or JAX Experience with LLM application patterns including RAG, prompt engineering, fine-tuning, and agentic architectures Proficiency with distributed training, GPU optimization, and experiment tracking tools Strong foundation in statistics, probability, and mathematical optimization Experience with advanced ML architectures such as transformers, diffusion models, graph neural networks, or reinforcement learning Knowledge of vector databases, embeddings, and semantic search technologies Experience in data engineering for ML, including feature stores, data pipelines, and data quality practices Understanding of MLOps practices such as model monitoring, A/B testing, shadow deployments, and versioning Cloud experience (AWS, Azure, or GCP) supporting ML workloads at scale Solid technical communication skills with ability to explain complex concepts to diverse audiences Pragmatic, collaborative leadership style with comfort operating in ambiguity Experience working in enterprise SaaS environments with mature products Vivez lexprience Altus ! Si vous souhaitez faire progresser votre carrire dans un secteur en pleine transformation, il ny a pas de meilleur endroit que Groupe Altus.

Notre culture de haute confiance et de haute performance privilgie des programmes progressifs qui vous permettent de donner le meilleur de vous-mme tout en favorisant le succs collectif, o chacun est reconnu et connect.

Nous offrons des opportunits illimites dans une entreprise mondiale en forte croissance :



mentorat par les meilleurs experts du secteur immobilier commercial, accs notre Altus Intelligence Academy, et la possibilit de travailler avec les meilleures bases de donnes, outils et technologies de lindustrie.

Ce que le Groupe Altus offre: Rcompenser les performances: Nous sommes heureux de pouvoir offrir nos employs une rmunration comptitive, des plans d''incitation et de primes, ainsi qu''un ensemble de rcompenses qui donne la priorit leur sant mentale, physique et financire globale.

Croissance et dveloppement: En tant que destination pour les meilleurs talents de l''industrie, nous investissons en vous pour rpondre aux besoins changeants de nos clients et atteindre vos objectifs professionnels.

Notre Altus Intelligence Academy offre plus de 150 000 heures de matriel d''apprentissage pour rpondre aux diffrentes tapes de la carrire d''un employ.

Modle de travail flexible: Nous modernisons nos programmes pour les employs afin de reflter le nouveau monde du travail.

Notre modle de travail bas sur l''activit vous offre la flexibilit d''aligner votre lieu de travail sur le travail effectu - le bureau pour la connexion et la collaboration, et l''loignement pour le travail cibl.

Inclusivit & Accessibilit Groupe Altus sengage favoriser un environnement de travail inclusif o tous les clients et employs se sentent accueillis, accepts et valoriss.

Nous offrons un cadre exempt de barrires afin de promouvoir la diversit, lquit et linclusion, et encourageons lgalit des chances pour tous les employs.

Nous recherchons des candidats aux expriences varies et proposons un processus de recrutement accessible.

Si vous avez besoin dun amnagement particulier, veuillez nous contacter ou au +1 (phone hidden) .

Utilisation de lintelligence artificielle Des outils dIA peuvent tre utiliss pour soutenir les premires tapes de slection pour ce poste ; toutefois, toutes les valuations et dcisions finales dembauche sont examines et prises par un professionnel du recrutement de Groupe Altus.

Vrifications des antcdents Veuillez noter que, dans le cadre de notre engagement maintenir un environnement de travail sr et scuris, Groupe Altus peut effectuer des vrifications des antcdents sur les candidats ayant reu une offre conditionnelle demploi.

Ces vrifications peuvent inclure, sans sy limiter, la confirmation de lhistorique professionnel, des diplmes, des casiers judiciaires, de lhistorique de crdit (le cas chant), ainsi que des rfrences.

La porte et la nature des vrifications peuvent varier selon le poste, le lieu et les lois applicables.

Toutes les vrifications seront effectues conformment aux lois locales et les candidats seront informs des contrles requis dans le cadre du processus de recrutement.

Autres notes / Processus de candidature Nous remercions tous les candidats ; toutefois, seuls ceux slectionns pour la suite du processus seront contacts.

Merci de lintrt que vous portez Groupe Altus.

📌 Lead AI Engineer (Toronto)
🏢 Altus Group
📍 Toronto