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Ingeno
12+ ans12 ans ou plus d'expérience en génie logiciel, dont architecture; Baccalauréat ou maîtrise en informatique ou équivalent; Expérience d'intégration de composants IA/ML en production
LLM, RAG, bases de données vectorielles, AWS
Blend360: Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI,…
3+ ansCandidates need 3 to 5 years of software, data or ML engineering experience, Python, a data processing framework, and production AI or LLM work. Cloud data infrastructure and the ability to commute to the Edmonton office are also required.
Spark, dbt, Airflow, Prefect, LangChain, LangGraph
Sia
1+ ansCandidates need a Master's or engineering degree in a quantitative field and 1-3+ years of hands-on ML or data science experience, including LLM projects. Strong Python, LangChain or LlamaIndex, vector search, fine-tuning and cloud MLOps skills are required.
Python, LangChain, LlamaIndex, Docker, Git, Hugging Face
Sia
1+ ansCandidates need a Master's or engineering degree in a quantitative field and 1-3+ years of hands-on machine learning or data science work, including LLM and GenAI projects. Strong Python, GenAI frameworks, NLP, vector search, cloud platforms and MLOps skills are required.
Python, LangChain, LlamaIndex, Docker, Git, AWS
SSI ShipConstructor
Candidates need a computer science or software engineering degree, solid backend or systems development experience, and skill in Python, C# or C++. Experience with scalable distributed systems and AI/ML tooling such as MLflow, Kubeflow or Azure ML is also required.
MLflow, Kubeflow, Azure ML, Docker, Kubernetes
Signal 1
5+ ansCandidates need 5+ years of security engineering experience with deep Microsoft Azure security expertise, and hands-on knowledge across all security domains. Experience in regulated environments with SOC 2 Type II or HIPAA is required, along with strong communication skills for executives and customers.
Microsoft Entra ID, Microsoft Defender for Cloud, Microsoft Sentinel, Microsoft Defender for Endpoint, Microsoft Purview, Azure Policy
Carbon60
10+ ansCandidates need 10+ years as a principal data engineer, lead ML engineer or data architect. They need strong distributed data and ML skills, polyglot programming, cloud and infrastructure experience, and the communication skills to work with clients.
Apache Spark, Databricks, AWS Glue, Snowflake, Redshift, dbt
Bank of Montreal
2+ ansCandidates need a quantitative background, at least 2 years of data science or machine learning experience, and strong Python and cloud skills. Strong communication and problem-solving abilities are also needed.
Python, Bloomberg, FactSet, Thomson Reuters
Bank of Montreal
3+ ansCandidates need a PhD in computer science, mathematics, physics or a related quantitative field, plus at least 3 years of data science or machine learning experience. Strong Python, statistical modeling, time series and cloud skills are required, and capital markets experience is an asset.
Python, Bloomberg, FactSet, Thomson Reuters
Bank of Montreal
3+ ansCandidates need a Ph.D. in a quantitative field, at least 3 years of data science or machine learning experience, strong Python and cloud skills, and statistical and time series modeling ability. Capital markets experience is a strong asset.
Python, Bloomberg, FactSet, Thomson Reuters
Bank of Montreal
5+ ansBank of Montreal needs 5 to 7 years of experience in risk analytics, credit strategy or portfolio management at a financial institution, plus a postsecondary degree in a quantitative or related field. Candidates need strong applied skills in Python, SQL, SAS or R and a solid grasp of credit risk and regulatory concepts.
Python, SQL, SAS, R
Bank of Montreal
5+ ansCandidates need 5+ years of software or platform engineering experience with production operations, ideally in a regulated industry. They need strong Python or Go skills, cloud-native experience on AWS or Azure with Kubernetes and Terraform, and depth in at least one area such as policy-as-code, workload identity, observability or gateway services.
Kubernetes, Terraform, CloudFormation, Bitbucket, GitHub, Jira
Jesta I.S.: est un pionnier dans le développement de suites ERP d'entreprise de bout en bout pour les marques émergentes aspirant à se développer et les marques…
5+ ans5 ans minimum d'expérience professionnelle en ML ou MLOps; Baccalauréat ou maîtrise en informatique ou apprentissage automatique; Maîtrise de Python et SQL, incluant les requêtes complexes
Snowflake, Oracle, AWS, Azure, Kedro, MLflow
Jesta I.S.: est un pionnier dans le développement de suites ERP d'entreprise de bout en bout pour les marques émergentes aspirant à se développer et les marques…
5+ ansAu moins 5 ans d'expérience industrielle en science des données appliquée; Expérience du déploiement de systèmes ML en production à grande échelle; Expertise en LLM, IA générative et systèmes agentiques
Python, PyTorch, LightGBM, MLflow, Docker, AWS SageMaker
Senstar
Candidates need strong Python and C++ programming, a solid grasp of machine learning fundamentals, and experience with PyTorch or TensorFlow. Recent graduates and early-career candidates with academic, research or personal projects are welcome.
Label Studio, TIDL, PyTorch, TensorFlow, Linux, Docker
Data Elephant: Data Elephant was founded in 2022 to fulfill a need in the Canadian market for a dedicated and full-stack data and analytics services firm.
7+ ansCandidates need 7+ years in data engineering, including 4+ years building production solutions on Databricks. They must have strong PySpark, SQL and Microsoft Azure skills, and experience leading large data migrations.
Azure Databricks, Azure Data Factory, Azure Synapse Analytics, Azure Key Vault, Azure DevOps, GitHub
17 entreprises