Connaissance des technologies MLOps et des pipelines CI/CD appliques aux modeles d'IA; * Competences en ingenierie de donnees (pretraitement, feature engineering, pipelines de donnees); * Maitrise ...
Connaissance des technologies MLOps et des pipelines CI/CD appliques aux modeles d'IA; * Competences en ingenierie de donnees (pretraitement, feature engineering, pipelines de donnees); * Maitrise ...
Connaissance des technologies MLOps et des pipelines CI/CD appliques aux modeles d'IA; * Competences en ingenierie de donnees (pretraitement, feature engineering, pipelines de donnees); * Maitrise ...
Connaissance des technologies MLOps et des pipelines CI/CD appliques aux modeles d'IA; * Competences en ingenierie de donnees (pretraitement, feature engineering, pipelines de donnees); * Maitrise ...
Connaissance des technologies MLOps et des pipelines CI/CD appliques aux modeles d'IA; * Competences en ingenierie de donnees (pretraitement, feature engineering, pipelines de donnees); * Maitrise ...
Connaissance des technologies MLOps et des pipelines CI/CD appliques aux modeles d'IA; * Competences en ingenierie de donnees (pretraitement, feature engineering, pipelines de donnees); * Maitrise ...
Lead and develop a multi-level organization consisting of managers, architects, engineers, and ... Experience with MLOps, AI/ML platform capabilities, and emerging agentic AI frameworks. * Knowledge ...
Lead and develop a multi-level organization consisting of managers, architects, engineers, and ... Experience with MLOps, AI/ML platform capabilities, and emerging agentic AI frameworks. * Knowledge ...
Head of Data & AI Platform
Laval, QC · On-site
Lead and develop a multi-level organization consisting of managers, architects, engineers, and ... Experience with MLOps, AI/ML platform capabilities, and emerging agentic AI frameworks. * Knowledge ...
Head of Data & AI Platform
Laval, QC · On-site
Lead and develop a multi-level organization consisting of managers, architects, engineers, and ... Experience with MLOps, AI/ML platform capabilities, and emerging agentic AI frameworks. * Knowledge ...
Lead and develop a multi-level organization consisting of managers, architects, engineers, and ... Experience with MLOps, AI/ML platform capabilities, and emerging agentic AI frameworks. * Knowledge ...
Lead and develop a multi-level organization consisting of managers, architects, engineers, and ... Experience with MLOps, AI/ML platform capabilities, and emerging agentic AI frameworks. * Knowledge ...
Lead and develop a multi-level organization consisting of managers, architects, engineers, and ... Experience with MLOps, AI/ML platform capabilities, and emerging agentic AI frameworks. Knowledge ...
Lead and develop a multi-level organization consisting of managers, architects, engineers, and ... Experience with MLOps, AI/ML platform capabilities, and emerging agentic AI frameworks. Knowledge ...
Head of Data & AI Platform
Candiac, QC · On-site
Lead and develop a multi-level organization consisting of managers, architects, engineers, and ... Experience with MLOps, AI/ML platform capabilities, and emerging agentic AI frameworks. * Knowledge ...
Head of Data & AI Platform
Candiac, QC · On-site
Lead and develop a multi-level organization consisting of managers, architects, engineers, and ... Experience with MLOps, AI/ML platform capabilities, and emerging agentic AI frameworks. * Knowledge ...
Lead and develop a multi-level organization consisting of managers, architects, engineers, and ... Experience with MLOps, AI/ML platform capabilities, and emerging agentic AI frameworks. Knowledge ...
Lead and develop a multi-level organization consisting of managers, architects, engineers, and ... Experience with MLOps, AI/ML platform capabilities, and emerging agentic AI frameworks. Knowledge ...
Head of data & ai platform
Dorval, QC · On-site
Lead and develop a multi-level organization consisting of managers, architects, engineers, and ... Experience with MLOps, AI/ML platform capabilities, and emerging agentic AI frameworks. Knowledge ...
Head of data & ai platform
Dorval, QC · On-site
Lead and develop a multi-level organization consisting of managers, architects, engineers, and ... Experience with MLOps, AI/ML platform capabilities, and emerging agentic AI frameworks. Knowledge ...
Lead and develop a multi-level organization consisting of managers, architects, engineers, and ... Experience with MLOps, AI/ML platform capabilities, and emerging agentic AI frameworks. * Knowledge ...
Lead and develop a multi-level organization consisting of managers, architects, engineers, and ... Experience with MLOps, AI/ML platform capabilities, and emerging agentic AI frameworks. * Knowledge ...
Head of Data & AI Platform
Montreal, QC · On-site
Lead and develop a multi-level organization consisting of managers, architects, engineers, and ... Experience with MLOps, AI/ML platform capabilities, and emerging agentic AI frameworks. * Knowledge ...
Head of Data & AI Platform
Montreal, QC · On-site
Lead and develop a multi-level organization consisting of managers, architects, engineers, and ... Experience with MLOps, AI/ML platform capabilities, and emerging agentic AI frameworks. * Knowledge ...
Head of Data & AI Platform
Dorval, QC · On-site
Lead and develop a multi-level organization consisting of managers, architects, engineers, and ... Experience with MLOps, AI/ML platform capabilities, and emerging agentic AI frameworks. * Knowledge ...
Head of Data & AI Platform
Dorval, QC · On-site
Lead and develop a multi-level organization consisting of managers, architects, engineers, and ... Experience with MLOps, AI/ML platform capabilities, and emerging agentic AI frameworks. * Knowledge ...
Head of Data & AI Platform
Blainville, QC · On-site
Lead and develop a multi-level organization consisting of managers, architects, engineers, and ... Experience with MLOps, AI/ML platform capabilities, and emerging agentic AI frameworks. * Knowledge ...
Head of Data & AI Platform
Blainville, QC · On-site
Lead and develop a multi-level organization consisting of managers, architects, engineers, and ... Experience with MLOps, AI/ML platform capabilities, and emerging agentic AI frameworks. * Knowledge ...
Head of data & ai platform
Repentigny, QC · On-site
Lead and develop a multi-level organization consisting of managers, architects, engineers, and ... Experience with MLOps, AI/ML platform capabilities, and emerging agentic AI frameworks. Knowledge ...
Head of data & ai platform
Repentigny, QC · On-site
Lead and develop a multi-level organization consisting of managers, architects, engineers, and ... Experience with MLOps, AI/ML platform capabilities, and emerging agentic AI frameworks. Knowledge ...
Head of Data & AI Platform
Longueuil, QC · On-site
Lead and develop a multi-level organization consisting of managers, architects, engineers, and ... Experience with MLOps, AI/ML platform capabilities, and emerging agentic AI frameworks. * Knowledge ...
Head of Data & AI Platform
Longueuil, QC · On-site
Lead and develop a multi-level organization consisting of managers, architects, engineers, and ... Experience with MLOps, AI/ML platform capabilities, and emerging agentic AI frameworks. * Knowledge ...
Head of data & ai platform
Varennes, QC · On-site
Lead and develop a multi-level organization consisting of managers, architects, engineers, and ... Experience with MLOps, AI/ML platform capabilities, and emerging agentic AI frameworks. Knowledge ...
Head of data & ai platform
Varennes, QC · On-site
Lead and develop a multi-level organization consisting of managers, architects, engineers, and ... Experience with MLOps, AI/ML platform capabilities, and emerging agentic AI frameworks. Knowledge ...
Lead and develop a multi-level organization consisting of managers, architects, engineers, and ... Experience with MLOps, AI/ML platform capabilities, and emerging agentic AI frameworks. * Knowledge ...
Lead and develop a multi-level organization consisting of managers, architects, engineers, and ... Experience with MLOps, AI/ML platform capabilities, and emerging agentic AI frameworks. * Knowledge ...
Lead and develop a multi-level organization consisting of managers, architects, engineers, and ... Experience with MLOps, AI/ML platform capabilities, and emerging agentic AI frameworks. * Knowledge ...
Lead and develop a multi-level organization consisting of managers, architects, engineers, and ... Experience with MLOps, AI/ML platform capabilities, and emerging agentic AI frameworks. * Knowledge ...
Head of Data & AI Platform
Repentigny, QC · On-site
Lead and develop a multi-level organization consisting of managers, architects, engineers, and ... Experience with MLOps, AI/ML platform capabilities, and emerging agentic AI frameworks. * Knowledge ...
Head of Data & AI Platform
Repentigny, QC · On-site
Lead and develop a multi-level organization consisting of managers, architects, engineers, and ... Experience with MLOps, AI/ML platform capabilities, and emerging agentic AI frameworks. * Knowledge ...
Mlops Engineer information
What is an MLOps engineer?
An MLOps Engineer is responsible for deploying, monitoring, and maintaining machine learning models in production. They bridge the gap between data science and operations by automating workflows, optimizing infrastructure, and ensuring model reliability. Their role includes CI/CD for ML models, data pipeline management, and performance monitoring. They also work with cloud platforms, containerization, and orchestration tools to scale ML systems efficiently.
What are some common challenges MLOps engineers face in their daily work?
Mlops Engineers often encounter challenges in integrating new machine learning models into existing production systems while ensuring minimal downtime and maintaining data integrity. Managing the scaling and orchestration of models across various cloud or on-prem environments can be complex, requiring close coordination with data scientists and DevOps teams. Staying up to date with rapidly evolving tools and best practices is also essential in this field. Addressing these challenges provides valuable opportunities to innovate and improve both technical processes and team collaboration.
What are the key skills and qualifications needed to thrive as an MLOps engineer, and why are they important?
To thrive as an Mlops Engineer, you need strong skills in software engineering, machine learning pipelines, and cloud infrastructure, often backed by a degree in computer science, engineering, or a related field. Familiarity with tools such as Docker, Kubernetes, TensorFlow, AWS/GCP/Azure, and CI/CD systems is essential, and certifications like AWS Certified Machine Learning or Kubernetes Administrator are often valued. Effective communication, problem-solving, and teamwork are crucial soft skills for collaborating across data science and IT teams. These abilities enable Mlops Engineers to efficiently deploy, manage, and scale machine learning models in dynamic production environments.
What do you need to be a MLOps engineer?
To become a MLOps engineer, you typically need a strong background in software engineering, machine learning, and cloud platforms. Proficiency in programming languages like Python, experience with containerization tools such as Docker, and knowledge of CI/CD pipelines are essential. Certifications in cloud services and familiarity with tools like Kubernetes and ML frameworks also enhance qualifications.
Who earns more, ML engineer or MLOps engineer?
MLOps engineers typically earn slightly more than ML engineers due to their focus on deploying, maintaining, and scaling machine learning systems, which requires expertise in cloud platforms, automation, and infrastructure. Salary differences can vary based on experience, location, and company size, but MLOps roles often command higher compensation because of their specialized skill set.
What are popular job titles related to Mlops Engineer jobs in Quebec?
For Mlops Engineer jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Mlops Engineer jobs in Quebec look for?
The top searched job categories for Mlops Engineer jobs in Quebec are:
Developpeur(se) IA (Python / IA-ML)
Montreal, QC • On-site
Onepoint
Full-time
PTO
This job post has expired today. Applications are no longer accepted.
Key responsibilities
Develop and optimize AI and machine learning models to meet business needs.
Integrate and deploy models into production environments such as APIs and microservices.
Participate in workshops with IT, business teams, and data scientists to support AI development and deployment.
Job description
Company Description
Wepoint is the architect of major transformations for businesses and public sector organizations.
We support our clients from strategy through technological implementation, always striving to think beyond the obvious and to act within the framework of Economic, Social, Environmental, and Technological Responsibility (RESET). Our goal is to create new ways of working, new economic models, and smarter environments.
In nearly 20 years, we have become one of the key players in digital transformation, employing 3,500 people across Europe, Tunisia, North America, and the Asia-Pacific region.
What We Are Looking For
COURAGE - AUTHENTICITY - OPENNESS - COMMITMENT - ELEGANCE
Do these words resonate with you? They are our company values.
At Wepoint, we are looking for committed talents who are ready to share their expertise within open and collaborative teams, and who are not afraid to take initiative. We also value people who are able to challenge themselves and continuously improve.
At the heart of relationships at Wepoint are authenticity and the constant pursuit of excellence for our clients - this is what we expect from our future colleagues.
Description du poste
Vous rejoindrez le departement IT DevSecOps & IA a titre de Developpeur(se) IA Python. Vous serez responsable du developpement, de l'integration et de l'optimisation de modeles d'intelligence artificielle pour divers cas d'usage d'affaires.
Vous travaillerez en mode agile, en etroite collaboration avec des scientifiques de donnees (Data Scientists), des architectes de solutions, ainsi qu'avec les equipes d'affaires et TI des differentes divisions de l'entreprise. Vous jouerez un role cle dans l'industrialisation et le deploiement en production des solutions d'IA.
En tant qu'expert(e) en programmation assistee par l'IA, vous maitrisez pleinement les outils d'IA generative (GitHub Copilot, Cursor, Claude, ChatGPT) afin d'accelerer le developpement tout en maintenant des standards de qualite eleves. Vous etes en mesure de decomposer des problematiques complexes en instructions claires pour les outils d'IA, puis de valider et d'optimiser le code genere.
Responsabilites
Participer a des ateliers de travail avec les equipes TI, les equipes d'affaires et les scientifiques de donnees;
Developper et optimiser des modeles d'IA et de machine learning pour repondre a des besoins d'affaires;
Integrer et deployer les modeles en production (API, microservices);
Utiliser de facon experte les pratiques de vibe coding afin d'accelerer le developpement sans compromettre la qualite;
Mettre en place des pipelines MLOps (entrainement, gestion des versions, surveillance);
Realiser des tests automatises et assurer la validation des modeles (performance, robustesse, biais);
Produire une documentation technique detaillee (code, modeles, API, prompts reutilisables);
Optimiser les performances des solutions (latence, couts, evolutivite);
Assurer une veille technologique et formuler des recommandations sur les nouvelles techniques en intelligence artificielle;
Partager les meilleures pratiques deprogrammation assistee par l'IA aupres de l'equipe.
Qualifications
Minimum de 5 ans d'experience en developpement Python avec un fort accent sur l'intelligence artificielle et le machine learning;
Experience demontree en programmation assistees par l'IA avec une utilisation efficace d'outils d'IA tels que GitHub Copilot, Cursor, Claude ou ChatGPT;
Expertise des frameworks de machine learning et d'apprentissage profond : TensorFlow, PyTorch, Scikit-learn, Hugging Face, LangChain;
Solide experience avec les modeles de langage de grande taille (LLM) : fine-tuning, prompt engineering, RAG (Retrieval-Augmented Generation) et agents IA;
Maitrise des plateformes infonuagiques : AWS SageMaker, Azure Machine Learning, Google Cloud Vertex AI;
Connaissance des technologies MLOps et des pipelines CI/CD appliques aux modeles d'IA;
Competences en ingenierie de donnees (pretraitement, feature engineering, pipelines de donnees);
Maitrise des bases de donnees SQL, NoSQL et Vector Databases;
Experience du developpement d'API avec FastAPI, Flask et architectures REST;
Bonne connaissance de la conteneurisation avec Docker et Kubernetes;
Excellentes competences en tests automatises et en assurance qualite du code (pytest, unittest, couverture de code);
Maitrise des outils de gestion de versions (Git, GitLab, GitHub);
Atout : experience en vision par ordinateur (Computer Vision) et/ou en traitement automatique du langage naturel (NLP);
Excellente communication en francais et en anglais. L'anglais est requis, le poste demandant de communiquer avec des clients et des partenaires situes a l'exterieur du Quebec.
Seuls les candidat(es) legalement autorises(ees) a travailler pour tout employeur au Canada seront consideres(ees)
Wepoint Benefits
- Minimum of 3 weeks of vacation starting from the first year;
- Comprehensive group insurance with a generous employer contribution;
- Employer contribution to a group RRSP;
- Full remote work flexibility: Hybrid, Remote, or On-site;
- A warm, bright, and welcoming office offering fresh fruit, coffee, beverages, occasional meals, etc.;
- Annual IT equipment budget;
- A balanced work environment with flexible working hours;
- Career development: training and certifications, online or in-person learning, Wepoint Academy, etc.;
- An international community of experts ready to share their knowledge;
- A company culture focused on individuals' needs and their belonging to a strong community.
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Permis CNESST : AP-2504754, AP-2504755, AR-2504756