Contexte du poste The Applied AI Software Engineer will be responsible for the rapid technical ... Scalable MLOps Architecture: Develop and maintain robust agentic frameworks ensuring the ...
Contexte du poste The Applied AI Software Engineer will be responsible for the rapid technical ... Scalable MLOps Architecture: Develop and maintain robust agentic frameworks ensuring the ...
GenAI Engineer
Montreal, QC · On-site
Framework & Pipeline Engineering Build scalable pipelines for data preprocessing, feature ... MLOps & Infrastructure Deployment: Experience with ML flow, Kubeflow, or Triton Inference Server.
GenAI Engineer
Montreal, QC · On-site
Framework & Pipeline Engineering Build scalable pipelines for data preprocessing, feature ... MLOps & Infrastructure Deployment: Experience with ML flow, Kubeflow, or Triton Inference Server.
Knowledge of MLOps/DataOps practices * Knowledge of investment and financial data (portfolios, transactions, market prices), a major asset * GCP certification (e.g., Professional Data Engineer) Why ...
Knowledge of MLOps/DataOps practices * Knowledge of investment and financial data (portfolios, transactions, market prices), a major asset * GCP certification (e.g., Professional Data Engineer) Why ...
Data Engineer, Investments
Quebec, QC · Hybrid
Knowledge of MLOps/DataOps practices * Knowledge of investment and financial data (portfolios, transactions, market prices), a major asset * GCP certification (e.g., Professional Data Engineer) Why ...
Data Engineer, Investments
Quebec, QC · Hybrid
Knowledge of MLOps/DataOps practices * Knowledge of investment and financial data (portfolios, transactions, market prices), a major asset * GCP certification (e.g., Professional Data Engineer) Why ...
Data Engineer, Investments
Quebec, QC · Hybrid
Knowledge of MLOps/DataOps practices * Knowledge of investment and financial data (portfolios, transactions, market prices), a major asset * GCP certification (e.g., Professional Data Engineer) Why ...
Data Engineer, Investments
Quebec, QC · Hybrid
Knowledge of MLOps/DataOps practices * Knowledge of investment and financial data (portfolios, transactions, market prices), a major asset * GCP certification (e.g., Professional Data Engineer) Why ...
Knowledge of MLOps/DataOps practices * Knowledge of investment and financial data (portfolios, transactions, market prices), a major asset * GCP certification (e.g., Professional Data Engineer) Why ...
Knowledge of MLOps/DataOps practices * Knowledge of investment and financial data (portfolios, transactions, market prices), a major asset * GCP certification (e.g., Professional Data Engineer) Why ...
Junior Machine Learning Engineer
CA$80K - CA$95K/yr
Experience using cloud AI and machine learning services, model hosting, or MLOps tools ... Knowledge of software engineering practices such as version control, testing, CI/CD, and ...
Junior Machine Learning Engineer
CA$80K - CA$95K/yr
Experience using cloud AI and machine learning services, model hosting, or MLOps tools ... Knowledge of software engineering practices such as version control, testing, CI/CD, and ...
Senior Developer (AI / ML)
Montreal, QC · On-site +1
... Developer to design, build, and deploy production-ready AI solutions that improve warehouse ... Implement MLOps best practices, including model evaluation, monitoring, and deployment. * Develop ...
Senior Developer (AI / ML)
Montreal, QC · On-site +1
... Developer to design, build, and deploy production-ready AI solutions that improve warehouse ... Implement MLOps best practices, including model evaluation, monitoring, and deployment. * Develop ...
Tu cherches un défi ambitieux en tant que Lead AI Engineer à Montréal ? Rejoins MIA Innovation ... Connaissances MLOps, CI/CD, conteneurisation Stack technique IA & Data * Python * Pipelines data
Quick apply
Tu cherches un défi ambitieux en tant que Lead AI Engineer à Montréal ? Rejoins MIA Innovation ... Connaissances MLOps, CI/CD, conteneurisation Stack technique IA & Data * Python * Pipelines data
Senior Applied AI Engineer
Montreal, QC · On-site +1
It's hands-on and high-agency, blending AI engineering with real product sense and close ... MLOps and platform experience (CI/CD, containers, Kubernetes/AKS) , an asset * Bilingualism:
Senior Applied AI Engineer
Montreal, QC · On-site +1
It's hands-on and high-agency, blending AI engineering with real product sense and close ... MLOps and platform experience (CI/CD, containers, Kubernetes/AKS) , an asset * Bilingualism:
Tu cherches un dfi ambitieux en tant que Lead AI Engineer Montral ? Rejoins MIA Innovation. propos ... Connaissances MLOps, CI/CD, conteneurisation Stack technique IA & Data * Python * Pipelines data
Quick apply
Tu cherches un dfi ambitieux en tant que Lead AI Engineer Montral ? Rejoins MIA Innovation. propos ... Connaissances MLOps, CI/CD, conteneurisation Stack technique IA & Data * Python * Pipelines data
... Engineering et Infrastructure Qualifications et experience * Connaissance des architectures analytiques (data lake, entrepot, ETL, pipelines) * Connaissance des concepts MLOps et LLMOps
... Engineering et Infrastructure Qualifications et experience * Connaissance des architectures analytiques (data lake, entrepot, ETL, pipelines) * Connaissance des concepts MLOps et LLMOps
Le ou la spécialiste interviendra sur l'ensemble du cycle de vie des solutions IA : choix des modèles, prompt engineering avancé, architectures RAG, fine-tuning, intégration et MLOps, tout en ...
Quick apply
Le ou la spécialiste interviendra sur l'ensemble du cycle de vie des solutions IA : choix des modèles, prompt engineering avancé, architectures RAG, fine-tuning, intégration et MLOps, tout en ...
... MLOps practices, model evaluation, observability, security, and governance. * Promote the ... Holds a relevant university degree in computer science, software engineering, data science ...
... MLOps practices, model evaluation, observability, security, and governance. * Promote the ... Holds a relevant university degree in computer science, software engineering, data science ...
... MLOps practices, model evaluation, observability, security, and governance. * Promote the ... Holds a relevant university degree in computer science, software engineering, data science ...
... MLOps practices, model evaluation, observability, security, and governance. * Promote the ... Holds a relevant university degree in computer science, software engineering, data science ...
... MLOps practices, model evaluation, observability, security, and governance. * Promote the ... Holds a relevant university degree in computer science, software engineering, data science ...
... MLOps practices, model evaluation, observability, security, and governance. * Promote the ... Holds a relevant university degree in computer science, software engineering, data science ...
If you're a Python Developer with a passion for AI and Large Language Models and want to get the ... MLOps practices * Experience in deploying production systems to AWS using IaC As an equal ...
If you're a Python Developer with a passion for AI and Large Language Models and want to get the ... MLOps practices * Experience in deploying production systems to AWS using IaC As an equal ...
... MLOps practices, model evaluation, observability, security, and governance. * Promote the ... Holds a relevant university degree in computer science, software engineering, data science ...
... MLOps practices, model evaluation, observability, security, and governance. * Promote the ... Holds a relevant university degree in computer science, software engineering, data science ...
Plus de 5 ans d'experience pratique en DevOps et MLOps, avec une specialisation dans le deploiement et la gestion de modeles d'apprentissage automatique dans des environnements de production
Plus de 5 ans d'experience pratique en DevOps et MLOps, avec une specialisation dans le deploiement et la gestion de modeles d'apprentissage automatique dans des environnements de production
Data Scientist
Laval, QC · On-site
... MLOps principles STAND OUT WITH... * Experience building LLM-powered applications or proof-of-concepts using prompt engineering, RAG (Retrieval-Augmented Generation), fine-tuning approaches
Data Scientist
Laval, QC · On-site
... MLOps principles STAND OUT WITH... * Experience building LLM-powered applications or proof-of-concepts using prompt engineering, RAG (Retrieval-Augmented Generation), fine-tuning approaches
Mlops Engineer information
Are MLOps engineers in demand?
MLOps engineers are in high demand due to the increasing adoption of machine learning and AI across industries. They are needed to develop, deploy, and maintain scalable ML systems, often requiring skills in cloud platforms, automation, and tools like Docker and Kubernetes. The role offers strong job growth prospects and competitive salaries.
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 does an MLOps engineer do?
An MLOps engineer is responsible for deploying, managing, and maintaining machine learning models in production environments. They work with tools like Docker, Kubernetes, and cloud platforms to automate workflows, ensure model reliability, and monitor performance. Their role combines software engineering, data science, and DevOps practices to streamline the deployment and lifecycle management of machine learning systems.
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:
Full-time
Re-posted 24 days ago
Job description
Contexte du poste
The Applied AI Software Engineer will be responsible for the rapid technical design and delivery of AI agents and frameworks built on top of SIMPRO FSMs. Working closely with the AI Platform ProductManagement team, they will be the key technical owner transforming commercial opportunities into production-grade AI capabilities. This role demands an aggressive entrepreneurial spirit; they must be scrappy, able to figure out complex integration challenges on the fly, and driven by a "speed to deploy" mentality. While speed is critical, they must also maintain high standards of quality, ensuring tight collaboration with SIMPRO's product and R&D teams to create seamless, monetizable integrations.Ce que vous ferez
Partnership-Driven Development: Design and implement scalable agentic models andAI agents specifically tailored to support the workflows and commercial goals defined in the roadmap.
Rapid Prototyping & Integration: Lead the engineering effort to integrate AI models into the SIMPRO core platform with velocity, building on top of APIs and microservices that ensure high performance and interoperability.
Scalable MLOps Architecture: Develop and maintain robust agentic frameworks ensuring the infrastructure can scale to meet the demands of various strategic partners.
Data Strategy & Collaboration: Collaborate closely with data teams to define requirements, manage feature stores, and ensure the quality of data flowing between the core SIMPRO platform and new AI agents.
Ce que vous apportez
Nos valeurs fondamentalesNous formons une seule equipe
Nous sommes centres sur le client
Nous avons une mentalite de croissance
Nous sommes responsables
Nous celebrons les reussites
Simpro, AroFlo, BigChange et ClockShark sont des employeurs souscrivant au principe de l'egalite d'acces a l'emploi. Nous offrons un programme d'integration de premier ordre ainsi qu'un environnement de travail stimulant. Cela signifie que nous souhaitons que chacun se sente le bienvenu chez nous et que nous offrons des chances egales a tous, sans egard a l'age, au handicap, a la reaffectation de genre, au mariage et au partenariat civil, a la grossesse et a la maternite, a la race, a la religion ou aux convictions, au sexe ou a l'orientation sexuelle, ou a tout autre facteur non lie au rendement.
Si vous souhaitez rejoindre une organisation dynamique et progressive offrant de reelles perspectives de carriere, veuillez soumettre votre candidature des maintenant en joignant votre CV.
*Veuillez noter qu'aucune agence de recrutement ne sera acceptee pour le pourvoi de ce poste.