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Agent Based Modeling Jobs in Quebec (NOW HIRING)

Societe Generale

Technical Team Leader

Montreal, QC

... models. Our teams work across business lines and geographies to build scalable, innovative ... Azure-based platform. A key responsibility is to drive the evolution from the Volcker Metrics ...

BRP

Support your various internal clients and act as an agent of change in Lean strategies. * Provide ... Lead kaizen workshops that aim to optimize plant efficiency and the introduction of new models.

BRP

Support your various internal clients and act as an agent of change in Lean strategies. Provide ... Lead kaizen workshops that aim to optimize plant efficiency and the introduction of new models.

Groupe DCM

As a fast-growing Quebec-based manufacturing group, we design, manufacture, and repair critical structures, components, and tooling for world-renowned clients. Thanks to our integrated business model ...

Groupe DCM

As a fast-growing Quebec-based manufacturing group, we design, manufacture, and repair critical structures, components, and tooling for world-renowned clients. Thanks to our integrated business model ...

Groupe DCM

As a fast-growing Quebec-based manufacturing group, we design, manufacture, and repair critical structures, components, and tooling for world-renowned clients. Thanks to our integrated business model ...

Intact Financial

SRE specialist

Montreal, QC · Hybrid

Flexible work arrangements and a hybrid work model * Possibility to purchase up to 5 extra days off ... The salary range presented above is based on a 35-hour workweek and would represent a majority of ...

BRP

Industrial Engineering, Engineer

Valcourt, QC

Support your various internal clients and act as an agent of change in Lean strategies. * Provide ... Lead kaizen workshops that aim to optimize plant efficiency and the introduction of new models.

Intact Financial Corporation

SRE specialist

Montreal, QC · Hybrid

Flexible work arrangements and a hybrid work model * Possibility to purchase up to 5 extra days off ... The salary range presented above is based on a 35-hour workweek and would represent a majority of ...

Autodesk

Software Architect, AI/ML

Montreal, QC

LLM-based systems (RAG, MCP, Agent workflows, fine-tuned models) * Experience with MCP or similar standardized patterns for connecting models to tools and context * Experience with deploying and ...

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Agent Based Modeling information

See Quebec salary details

$20K

$76.1K

$174K

How much do agent based modeling jobs pay per year?

As of Jun 28, 2026, the average yearly pay for agent based modeling in Quebec is $76,080.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,000.00 and $100,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Agent Based Modeling position, and why are they important?

To thrive in an Agent Based Modeling role, a strong background in computational modeling, mathematics, and systems analysis is typically required, often supported by a degree in computer science, engineering, or a related field. Proficiency with simulation tools such as NetLogo, AnyLogic, or Repast, as well as programming languages like Python or Java, is highly valuable. Effective communication, critical thinking, and strong collaboration skills help professionals explain complex models to stakeholders and work within multidisciplinary teams. These qualities are crucial for accurately simulating real-world systems, delivering actionable insights, and driving informed decision-making in various industries.

What are some typical challenges faced in an Agent Based Modeling position?

A common challenge in Agent Based Modeling is accurately representing complex, real-world systems with diverse and dynamic agents while balancing computational resources and model simplicity. Professionals in this role often need to validate and calibrate their models with limited or imperfect data, requiring both technical skill and creativity. Additionally, effectively communicating modeling results to non-technical stakeholders and integrating feedback into iterations is a key part of the job. Overcoming these challenges provides rewarding opportunities to contribute to innovative solutions across areas like finance, healthcare, logistics, or social sciences.

What job makes $10,000 a month without a degree?

Agent-based modeling is a specialized field often used in research, simulation, and data analysis, but it typically requires advanced education or training. Jobs that can pay $10,000 a month without a degree include roles like real estate investors, successful entrepreneurs, or skilled trades such as certain sales positions or tech freelance work, which rely more on experience, skills, and performance than formal education.

What does agent-based modeling mean?

Agent-based modeling is a computational approach used in agent-based modeling jobs to simulate interactions of autonomous agents within a system. It involves creating models where individual entities follow rules, allowing analysis of complex behaviors and emergent phenomena. Skills in programming, such as Python or NetLogo, are often required for developing and analyzing these models.

What is an Agent-Based Modeling job?

An Agent-Based Modeling (ABM) job involves developing and implementing simulations that model the interactions of autonomous agents within a system. These roles are common in fields like economics, epidemiology, traffic modeling, and artificial intelligence. Professionals in this role use programming and mathematical models to analyze complex systems and predict emergent behaviors. Key skills typically include coding (Python, NetLogo, or AnyLogic), data analysis, and knowledge of computational modeling techniques.

What jobs in the US pay 300,000 a year?

Agent-based modeling is a specialized field often found in roles such as data scientists, quantitative analysts, or research scientists, particularly in industries like finance, technology, or government research. These positions typically require advanced skills in programming, statistical analysis, and simulation tools, and salaries can reach or exceed $300,000 for senior or highly experienced professionals in high-demand sectors. Compensation depends on experience, location, and the complexity of the role.

What's the highest paying modeling job?

In agent-based modeling, high-paying roles are typically found in senior research positions, data science leadership, or consulting roles in industries like finance, defense, or technology. These positions often require advanced skills in programming, simulation tools, and a strong understanding of complex systems, with salaries reaching six figures or more depending on experience and location.
What are popular job titles related to Agent Based Modeling jobs in Quebec? For Agent Based Modeling jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Agent Based Modeling jobs in Quebec look for? The top searched job categories for Agent Based Modeling jobs in Quebec are:
Agent Based Modeling jobs near you

Data Engineer / Ingenieur ( e) de donnees

Klever Programmatic

Montreal, QC

Full-time

Posted 9 days ago

Job description

Data Engineer

WE ARE KLEVER

Take a bold step in your career by joining the team at Klever Programmatic, a global leader in programmatic advertising solutions and one of the fastest growing companies in North America. Klever allows advertisers and agencies of all sizes to advertise on a wide array of digital programmatic channels (display, video, CTV, programmatic audio, DOOH, native, mobile...). Programmatic advertising is a complex and fast-growing field where Klever's expertise is scarce and essential.

Summary

Seeking a passionate individual to join our existing team of AI specialists and drive the development of agents and other AI solutions. Leverage diverse datasets to enhance decision-making and commercial focus. Join us to create human-like outputs and be at the forefront of AI innovation. This role is hybrid based in our Montreal office.

Job Description

  • Collaborate with cross-functional teams, including data scientists, domain experts, and software engineers, to understand data requirements and provide the necessary infrastructure and support.
  • Implement data pipelines that facilitate preprocess, clean, and prepare large datasets for various purposes: feeding AI agents and our platform's visualizations.
  • Work with agent communication and tool/data access patterns (e.g. Agent2Agent (A2A), MCP, agent skills, or similar emerging standards)
  • Build data pipelines hosted in Google Cloud with technologies like BigQuery, Vertex AI, Firestore (NoSQL database), external APIs and other cloud services.
  • Develop APIs and MCPs for model-serving and LLM-powered systems.

Qualifications

Hard experience and skills

  • Minimum of 3 years of hands-on experience in implementing AI solutions.
  • Proven knowledge of MLOps/AI platforms and workflows in real-world applications.
  • Proficiency in the Python programming language.
  • Familiarity with SQL and data modelling principles.
  • Strong understanding of data manipulation, feature engineering, and data preprocessing techniques.
  • Experience with developing batch data processing applications, monitoring data processing applications and orchestrating data processing applications.
  • Familiarity with software development best practices, version control systems (Git), and agile methodologies.
  • Understanding of different data storage formats (JSON, parquet, etc.).
  • Good knowledge of concepts and best practices related to ML/AI.
  • Proficiency and interest in using coding agents: Claude Code, Codex, Copilot, etc.

Nice to Have

  • Familiarity with Kedro, LangChain, CrewAI, TensorFlow and/or PyTorch.
  • Terraform knowledge for infrastructure-as-code.
  • Experience with machine learning models and algorithms that address complex business challenges.
  • Familiarity with containerization (e.g., Docker).
  • Experience with big data technologies and distributed computing.
  • Domain knowledge about the advertising and marketing industries.

Soft skills

  • Strong communication skills
  • Creative thinker with excellent problem solving abilities
  • Ability to work efficiently in a fast-paced, agile environment
  • Self-motivated and entrepreneurial, but can also work well in a team.
  • Detail-oriented and organised, demonstrated ability to work independently.

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Ingenieure en donnees (Data Engineer)

NOUS SOMMES KLEVER

Faites un pas audacieux dans votre carriere en rejoignant l'equipe de Klever Programmatic, un leader mondial des solutions de publicite programmatique et l'une des entreprises a la croissance la plus rapide en Amerique du Nord.

Klever permet aux annonceurs et aux agences de toutes tailles de diffuser des campagnes sur un large eventail de canaux numeriques programmatiques (display, video, CTV, audio programmatique, DOOH, native, mobile...).

La publicite programmatique est un domaine complexe et en forte croissance ou l'expertise de Klever est a la fois rare et essentielle.



Sommaire

Nous recherchons une personne passionnee pour rejoindre notre equipe existante de specialistes en IA et contribuer au developpement d'agents et d'autres solutions d'intelligence artificielle.

Vous exploiterez des ensembles de donnees varies afin d'ameliorer la prise de decision et la performance commerciale.

Rejoignez-nous pour creer des resultats a l'apparence humaine et etre a l'avant-garde de l'innovation en IA.

Ce poste est hybride et base a notre bureau de Montreal.



Description du poste

  • Collaborer avec des equipes multidisciplinaires, incluant des data scientists, experts metier et ingenieurs logiciels, afin de comprendre les besoins en donnees et fournir l'infrastructure et le support necessaires.
  • Mettre en place des pipelines de donnees permettant le pretraitement, le nettoyage et la preparation de grands ensembles de donnees a differentes fins : alimentation d'agents IA et visualisations de notre plateforme.
  • Travailler avec des modeles de communication entre agents et des schemas d'acces aux outils/donnees (ex. : Agent2Agent (A2A), MCP, competences d'agents ou standards emergents similaires).
  • Construire des pipelines de donnees heberges sur Google Cloud a l'aide de technologies telles que BigQuery, Vertex AI, Firestore (base de donnees NoSQL), APIs externes et autres services cloud.
  • Developper des APIs et des MCP pour des systemes de serving de modeles et des systemes propulses par des LLM.

Qualifications

Experience et competences techniques requises

  • Minimum de 3 ans d'experience pratique dans la mise en uvre de solutions en intelligence artificielle.
  • Experience demontree avec des plateformes et processus MLOps/IA en contexte reel.
  • Maitrise du langage de programmation Python.
  • Bonne connaissance du SQL et des principes de modelisation de donnees.
  • Solide comprehension de la manipulation de donnees, du feature engineering et des techniques de pretraitement.
  • Experience dans le developpement d'applications de traitement de donnees en batch, la surveillance des traitements et l'orchestration des flux de donnees.
  • Familiarite avec les bonnes pratiques de developpement logiciel, les systemes de controle de version (Git) et les methodologies agiles.
  • Comprehension des differents formats de stockage de donnees (JSON, Parquet, etc.).
  • Bonne connaissance des concepts et des meilleures pratiques en ML/IA.
  • Maitrise et interet pour l'utilisation d'agents de codage : Claude Code, Codex, Copilot, etc.



Atouts

  • Connaissance de Kedro, LangChain, CrewAI, TensorFlow et/ou PyTorch.
  • Connaissance de Terraform pour l'infrastructure-as-code.
  • Experience avec des modeles et algorithmes de machine learning appliques a des enjeux d'affaires complexes.
  • Familiarite avec la conteneurisation (ex. : Docker).
  • Experience avec les technologies Big Data et le calcul distribue.
  • Connaissance du domaine de la publicite et du marketing.



Competences interpersonnelles

  • Excellentes aptitudes en communication
  • Esprit creatif et fortes capacites de resolution de problemes
  • Capacite a travailler efficacement dans un environnement agile et dynamique
  • Autonomie et esprit entrepreneurial, tout en etant capable de collaborer en equipe
  • Sens du detail et de l'organisation, avec capacite demontree a travailler de maniere independante

Apply