Senior Applied AI Scientist
Quebec, QC ยท On-site
Keep yourself up to date with the relevant research and scientific literature * Provide a ... Experience in practical machine learning applications and development * Ability to develop ...
Senior Applied AI Scientist
Quebec, QC ยท On-site
Keep yourself up to date with the relevant research and scientific literature * Provide a ... Experience in practical machine learning applications and development * Ability to develop ...
Data Scientist
$80K - $100K/yr
Previous experience with Machine Learning, Data Science and solving problems at scale Perks: * Competitive Salary * Individual performance bonus * Health and dental benefits * 3 weeks' vacation
Quick apply
Apply Early
Data Scientist
$80K - $100K/yr
Previous experience with Machine Learning, Data Science and solving problems at scale Perks: * Competitive Salary * Individual performance bonus * Health and dental benefits * 3 weeks' vacation
Apply Early
Data Scientist
$80K - $100K/yr
Previous experience with Machine Learning, Data Science and solving problems at scale Perks: * Competitive Salary * Individual performance bonus * Health and dental benefits * 3 weeks' vacation
Quick apply
Apply Early
Data Scientist
$80K - $100K/yr
Previous experience with Machine Learning, Data Science and solving problems at scale Perks: * Competitive Salary * Individual performance bonus * Health and dental benefits * 3 weeks' vacation
Apply Early
As an expert data scientist, you will combine your knowledge of machine learning and software development skills to automate model development, training, and deployment. You will leverage your ...
As an expert data scientist, you will combine your knowledge of machine learning and software development skills to automate model development, training, and deployment. You will leverage your ...
As an expert data scientist, you will combine your knowledge of machine learning and software development skills to automate model development, training, and deployment. You will leverage your ...
As an expert data scientist, you will combine your knowledge of machine learning and software development skills to automate model development, training, and deployment. You will leverage your ...
Principal Data Scientist
CA$129K - CA$189K/yr
This role brings data science into day-to-day product engineering, from instrumentation and experimentation through advanced analytics and machine learning. You will work on complex, high-scale ...
Principal Data Scientist
CA$129K - CA$189K/yr
This role brings data science into day-to-day product engineering, from instrumentation and experimentation through advanced analytics and machine learning. You will work on complex, high-scale ...
Solutions Architect - Montreal
Montreal, QC ยท On-site +1
Data Science and Machine Learning (Ex: pandas, scikit-learn, HPO) * Data Applications (Ex: Logs Analysis, Threat Detection, Real-time Systems Monitoring, Risk Analysis and more) * Experience ...
Solutions Architect - Montreal
Montreal, QC ยท On-site +1
Data Science and Machine Learning (Ex: pandas, scikit-learn, HPO) * Data Applications (Ex: Logs Analysis, Threat Detection, Real-time Systems Monitoring, Risk Analysis and more) * Experience ...
Expertise in data science (machine learning, statistics) and a good understanding of the limitations in an operational context * Proficiency in Python, analytical development practices (Git, MLflow ...
Expertise in data science (machine learning, statistics) and a good understanding of the limitations in an operational context * Proficiency in Python, analytical development practices (Git, MLflow ...
... of scientific papers. * Read vigorously to stay up-to-date with relevant AI safety and machine learning research and deeply understand the risks posed by frontier models, including misalignment ...
... of scientific papers. * Read vigorously to stay up-to-date with relevant AI safety and machine learning research and deeply understand the risks posed by frontier models, including misalignment ...
Data Scientist II
Montreal, QC ยท Hybrid
Design, develop, and implement advanced predictive models and machine learning algorithms ... Mentor and guide junior data scientists, fostering a collaborative and supportive team environment.
Data Scientist II
Montreal, QC ยท Hybrid
Design, develop, and implement advanced predictive models and machine learning algorithms ... Mentor and guide junior data scientists, fostering a collaborative and supportive team environment.
ML Intern, Research
Montreal, QC ยท On-site
... science. We're looking for individuals with strong engineering skills, including expertise in designing, implementing, improving, and deploying distributed machine learning systems at scale. In ...
ML Intern, Research
Montreal, QC ยท On-site
... science. We're looking for individuals with strong engineering skills, including expertise in designing, implementing, improving, and deploying distributed machine learning systems at scale. In ...
Data Scientist
Montreal, QC ยท Hybrid
Has 3 to 5 years of experience in data science, including hands-on experience with key machine learning methods (regression, classification, decision trees, random forests, etc.), and holds a ...
Data Scientist
Montreal, QC ยท Hybrid
Has 3 to 5 years of experience in data science, including hands-on experience with key machine learning methods (regression, classification, decision trees, random forests, etc.), and holds a ...
Data Scientist
Quebec, QC ยท Hybrid
Has 3 to 5 years of experience in data science, including hands-on experience with key machine learning methods (regression, classification, decision trees, random forests, etc.), and holds a ...
Data Scientist
Quebec, QC ยท Hybrid
Has 3 to 5 years of experience in data science, including hands-on experience with key machine learning methods (regression, classification, decision trees, random forests, etc.), and holds a ...
Data Scientist
Montreal, QC ยท Hybrid
Has 3 to 5 years of experience in data science, including hands-on experience with key machine learning methods (regression, classification, decision trees, random forests, etc.), and holds a ...
Data Scientist
Montreal, QC ยท Hybrid
Has 3 to 5 years of experience in data science, including hands-on experience with key machine learning methods (regression, classification, decision trees, random forests, etc.), and holds a ...
Data Scientist
Quebec, QC ยท Hybrid
Has 3 to 5 years of experience in data science, including hands-on experience with key machine learning methods (regression, classification, decision trees, random forests, etc.), and holds a ...
Data Scientist
Quebec, QC ยท Hybrid
Has 3 to 5 years of experience in data science, including hands-on experience with key machine learning methods (regression, classification, decision trees, random forests, etc.), and holds a ...
Data Engineer
Montreal, QC ยท Hybrid
In this role, you will lead the standardization and optimization of our data pipelines, specifically built for data science and machine learning projects. You will introduce modern technology stacks ...
Data Engineer
Montreal, QC ยท Hybrid
In this role, you will lead the standardization and optimization of our data pipelines, specifically built for data science and machine learning projects. You will introduce modern technology stacks ...
Data Engineer
Montreal, QC ยท On-site
In this role, you will lead the standardization and optimization of our data pipelines, specifically built for data science and machine learning projects. You will introduce modern technology stacks ...
Data Engineer
Montreal, QC ยท On-site
In this role, you will lead the standardization and optimization of our data pipelines, specifically built for data science and machine learning projects. You will introduce modern technology stacks ...
Ingenieur en Intelligence Artificielle, IQVIA Digital /AI Engineer, IQVIA Digital
Kirkland, QC ยท On-site
Data Science ou domaine connexe * 2 a 4 ans d'experience dans : * L'ingenierie IA/ML, ou * L'ingenierie logicielle avec une exposition au machine learning * Excellente maitrise du langage : * Python
Ingenieur en Intelligence Artificielle, IQVIA Digital /AI Engineer, IQVIA Digital
Kirkland, QC ยท On-site
Data Science ou domaine connexe * 2 a 4 ans d'experience dans : * L'ingenierie IA/ML, ou * L'ingenierie logicielle avec une exposition au machine learning * Excellente maitrise du langage : * Python
PhD (or equivalent) with significant academic or industry research experience in machine learning applied to structural biology, atomistic modeling, or physical simulation. * Scientific knowledge of ...
PhD (or equivalent) with significant academic or industry research experience in machine learning applied to structural biology, atomistic modeling, or physical simulation. * Scientific knowledge of ...
Data Engineer
Montreal, QC ยท Hybrid
In this role, you will lead the standardization and optimization of our data pipelines, specifically built for data science and machine learning projects. You will introduce modern technology stacks ...
Data Engineer
Montreal, QC ยท Hybrid
In this role, you will lead the standardization and optimization of our data pipelines, specifically built for data science and machine learning projects. You will introduce modern technology stacks ...
Scientific Machine Learning information
What is scientific machine learning?
Scientific machine learning (SciML) is an interdisciplinary field that combines principles from machine learning and scientific computing to solve complex scientific and engineering problems. It involves developing algorithms and models that can learn from data and physical laws, such as differential equations, to make predictions, optimize systems, or gain insights into phenomena. SciML is widely used in areas like physics, biology, climate science, and engineering, enabling researchers to accelerate simulations and make data-driven discoveries. The field often leverages both traditional numerical methods and modern machine learning techniques, making it a rapidly evolving area of research.
What are some common challenges faced by professionals in Scientific Machine Learning, and how can they be addressed?
Professionals in Scientific Machine Learning often encounter challenges such as integrating domain-specific scientific knowledge with machine learning models, managing large and complex datasets, and ensuring that models are interpretable and physically consistent. Collaboration with domain experts and interdisciplinary teams is essential to bridge knowledge gaps and validate results. To address these challenges, it is helpful to invest time in understanding the underlying scientific principles, keep up-to-date with advancements in both machine learning and scientific fields, and utilize specialized tools and frameworks designed for scientific data.
What are the key skills and qualifications needed to thrive as a Scientific Machine Learning professional, and why are they important?
To thrive as a Scientific Machine Learning professional, you need a strong background in mathematics, statistics, programming (often Python), and domain-specific scientific knowledge, typically with a graduate degree in a STEM field. Proficiency in machine learning frameworks (such as TensorFlow or PyTorch), scientific computing tools (like NumPy, SciPy), and experience with high-performance computing are commonly required. Critical thinking, problem-solving, and collaborative communication are vital soft skills for designing experiments and interpreting complex data. These skills ensure robust, reproducible results and the ability to bridge scientific inquiry with advanced computational methods.
What is the difference between Scientific Machine Learning vs Data Scientist?
| Aspect | Scientific Machine Learning | Data Scientist |
|---|---|---|
| Required credentials | Advanced degrees in CS, ML, or related fields; knowledge of scientific computing | Degree in CS, statistics, or related fields; strong analytical skills |
| Work environment | Research labs, academia, industry R&D teams | Business analytics, tech companies, consulting firms |
| Industry usage | Research, scientific computing, engineering simulations | Business insights, predictive modeling, data analysis |
Scientific Machine Learning focuses on integrating scientific knowledge with machine learning techniques for research and engineering applications. Data Scientists analyze data to extract insights and build predictive models for business or operational purposes. While both roles require strong technical skills, Scientific Machine Learning emphasizes scientific computing and domain-specific modeling, whereas Data Scientists focus on data analysis and visualization.
What are popular job titles related to Scientific Machine Learning jobs in Quebec? For Scientific Machine Learning jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Scientific Machine Learning jobs in Quebec look for? The top searched job categories for Scientific Machine Learning jobs in Quebec are:
Job description
Senior Applied AI Scientist
Location: Hybrid, Quebec, Canada
As a Senior Applied AI Scientist, youโll have the opportunity to develop innovative solutions in artificial intelligence (AI) for smart infrastructure, participate in the development of new products based on AI, and collaborate with an established team of Data Scientists. By virtue of its unique market positioning, our team targets a wide variety of AI-related research fields, including computer vision, graphical models, natural language processing, advanced signal processing, unsupervised learning and clustering, reinforcement learning, etc.
Responsibilities:
- Develop AI/ML algorithms and models using accepted best practices
- Analyze user challenges, workflows, and use cases
- Keep yourself up to date with the relevant research and scientific literature
- Provide a technological watch over various areas of AI/ML
- Assist in data acquisition from various sources
- Analyze data integrity and quality
- Develop data cleaning strategies and prepare training datasets
- Measure model performance and resilience
- Prepare reports and presentations on results
- Present results to peers, internal stakeholders, and users
Qualifications:
- BSc, MSc, or PhD in machine learning or a related specialty
- at least 6 years of experience doing research and development in machine learning - including deep learning and advanced techniques
- Experience with Large Language Models, RAG, and Copilot systems
- Experience in practical machine learning applications and development
- Ability to develop innovative solutions in artificial intelligence to resolve concrete and complex challenges
- Programming and use of tools related to our area of practice, such as Python, PyTorch, Scikit-learn, LangChain, Llamaindex, DSPy, GraphRAG
- Strong problem-solving capabilities using various technologies
- Capability to research a new topic and to learn quickly
- Experience with major cloud providers (Microsoft Azure, Amazon AWS, ElasticSearch, etc.) and/or MLOps experience desired
- Fluent in English
What We Offer:
- A great Team and culture โ please see our colleague video.
- An exciting career as an integral part of a world-leading software company providing solutions for architecture, engineering, and construction - watch this short documentary about how we got our start.
- An attractive salary and benefits package.
- A commitment to inclusion, belonging, and colleague wellbeing through global initiatives and resource groups.
- A company committed to making a real difference by advancing the worldโs infrastructure for a better quality of life, where your contributions help build a more sustainable, connected, and resilient world. Discover our latest user success stories for an insight into our global impact.
Scientifique senior en intelligence artificielle appliquรฉe
Lieu : Hybride, Quรฉbec, Canada
En tant que scientifique senior en intelligence artificielle appliquรฉe, vous aurez l'occasion de dรฉvelopper des solutions novatrices en intelligence artificielle (IA) pour les infrastructures intelligentes, de participer au dรฉveloppement de nouveaux produits basรฉs sur l'IA et de collaborer avec une รฉquipe รฉtablie de scientifiques des donnรฉes. En raison de son positionnement unique sur le marchรฉ, notre รฉquipe cible une grande variรฉtรฉ de domaines de recherche liรฉs ร l'IA, notamment la vision par ordinateur, les modรจles graphiques, le traitement du langage naturel, le traitement avancรฉ du signal, l'apprentissage non supervisรฉ et le regroupement, l'apprentissage par renforcement, etc.
Responsabilitรฉs :
- Dรฉvelopper des algorithmes et des modรจles d'IA/apprentissage automatique en utilisant les meilleures pratiques reconnues
- Analyser les dรฉfis, les flux de travail et les cas d'utilisation des utilisateurs
- Se tenir au courant de la recherche et de la littรฉrature scientifique pertinentes
- Assurer une veille technologique sur divers domaines de l'IA/apprentissage automatique
- Aider ร l'acquisition de donnรฉes provenant de diverses sources
- Analyser l'intรฉgritรฉ et la qualitรฉ des donnรฉes
- รlaborer des stratรฉgies de nettoyage des donnรฉes et prรฉparer des ensembles de donnรฉes de formation
- Mesurer les performances et la rรฉsilience des modรจles
- Prรฉparer des rapports et des prรฉsentations sur les rรฉsultats
- Prรฉsenter les rรฉsultats aux pairs, aux parties prenantes internes et aux utilisateurs
Qualifications :
- Baccalaurรฉat, maรฎtrise ou doctorat en apprentissage automatique ou dans une spรฉcialitรฉ connexe
- Au moins 6 ans d'expรฉrience en recherche et dรฉveloppement en apprentissage automatique, y compris l'apprentissage profond et les techniques avancรฉes
- Expรฉrience avec les grands modรจles de langage (LLM), les systรจmes RAG et Copilot
- Expรฉrience des applications et du dรฉveloppement pratiques de l'apprentissage automatique
- Capacitรฉ ร dรฉvelopper des solutions innovantes en intelligence artificielle pour rรฉsoudre des dรฉfis concrets et complexes
- Programmation et utilisation d'outils liรฉs ร notre domaine de pratique, tels que Python, PyTorch, Scikit-learn, LangChain, Llamaindex, DSPy, GraphRAG
- Solides capacitรฉs de rรฉsolution de problรจmes ร l'aide de diverses technologies
- Capacitรฉ ร faire des recherches sur un nouveau sujet et ร apprendre rapidement
- Expรฉrience avec les principaux fournisseurs de services en nuage (Microsoft Azure, Amazon AWS, ElasticSearch, etc.) et/ou expรฉrience en MLOps souhaitรฉe
- Maรฎtrise de l'anglais
Ce que nous offrons :
- Une รฉquipe et une culture formidables โ veuillez visionner notre [vidรฉo sur nos collรจgues].
- Une carriรจre passionnante au sein d'une entreprise de logiciels de premier plan mondial fournissant des solutions pour l'architecture, l'ingรฉnierie et la construction - regardez ce [court documentaire] sur nos dรฉbuts.
- Un salaire concurrentiel et une gamme complรจte d'avantages sociaux.
- Un engagement envers l'inclusion, l'appartenance et le bien-รชtre des collรจgues par le biais d'initiatives mondiales et de groupes de ressources.
- Une entreprise qui s'engage ร faire une rรฉelle diffรฉrence en faisant progresser les infrastructures mondiales pour une meilleure qualitรฉ de vie, oรน vos contributions aident ร bรขtir un monde plus durable, connectรฉ et rรฉsilient. Dรฉcouvrez nos plus rรฉcents [tรฉmoignages de rรฉussite de nos utilisateurs] pour avoir un aperรงu de notre impact mondial.
๎
About Bentley Systems
Around the world, infrastructure professionals rely on software from Bentley Systems to help them design, build, and operate better and more resilient infrastructure for transportation, water, energy, cities, and more. Founded in 1984 by engineers for engineers, Bentley is the partner of choice for engineering firms and owner-operators worldwide, with software that spans engineering disciplines, industry sectors, and all phases of the infrastructure lifecycle. Through our digital twin solutions, we help infrastructure professionals unlock the value of their data to transform project delivery and asset performance. www.bentley.com
Equal Opportunity Employer:
Bentley is proud to be an equal opportunity employer and considers for employment all qualified applicants without regard to race, color, gender/gender identity, sexual orientation, disability, marital status, religion/belief, national origin, caste, age, or any other characteristic protected by local law or unrelated to job qualifications.
About Bentley Systems
Sourced by ZipRecruiter
Industry
Software development
Company size
1,001 - 5,000 Employees
Headquarters location
Exton, PA, US
Year founded
1984