Learning Jobs in Brossard, QC
Last updated: 4 days ago
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Machine Learning Engineer (Canada)
Two95 International Inc.Montreal, QC, CALearning Program Manager
SobeysMontréal-Nord, Québ, CALearning Solutions Designer (Hybrid)
National BankMontreal, QuebecSenior Specialist, Learning & Development
SSENSEMontreal, QC, caMachine Learning Developer
AutodeskMontreal, Quebec, CanadaMachine Learning Specialist
BounteousMontreal, QCFormateur(-trice) en apprentissage technique | Technical Learning Instructor
Grass ValleyMontreal, QC, CASenior Machine Learning Engineer
Services de Gestion Quantum LtéeMontréal, Quebec, CanadaSenior Director, Learning & Development
faskenMontreal, QC, CAMachine Learning Engineer
Company 1 - The Manufacturers Life Insurance CompanyCAN, Quebec, Montreal, 900 Boulevard de Maisonneuve OuestBilingual Learning Experience Developer
Sun LifeMontreal, QuebecHead of Learning Area - Mathematics
Department of Education, Western AustraliaPeel, AULearning and Performance Solutions Consultant
MiyagiMontréal, QC, CASenior Applied Machine Learning Scientist
The Toronto-Dominion Bank (Canada)Montréal, QuébecSenior Machine Learning Operations Engineer
Wawanesa InsuranceMontreal, QCMachine Learning Engineer
GoMaterialsMontreal, Quebec, CanadaSenior Machine Learning Developer
CoveoProvince of QuebecSr. Machine Learning Engineer / Développeur ML sénior
Reliant AIMontreal, QC, CAGestionnaire de l'apprentissage automatique, Machine Learning Manager
Mila - Institut québécois d'intelligence artificielleMontreal, QC, CAMachine Learning Engineer (Canada)
Two95 International Inc.Montreal, QC, CA30+ days ago
Job type
- Full-time
- Quick Apply
Job description
Title : Machine Learning Engineer
Type : Contract to Hire
Location : 100% Remote (Canada)
Rate : $Open / Market
Requirements
- BSc / MSc in computer science, mathematics or related technical discipline
- 1-4 years’ experience in software engineering with exposure to statistical and / or data science role (5-10 years for Senior ML Engineer)
- Deep knowledge and proven experience with optimizing machine learning model in a production context
- Experience with Python or Scala is required. Background in programming in C, C++, Java is beneficial. Exposure to both streaming and non-streaming analytics Experience with SQL, Spark, Pandas, Numpy, SciPy, Statsmodels, Stan, pymc3, Caret, Scikit-learn, Keras, TensorFlow, Pytorch, Databricks is beneficial.
- Experience working with large data sets, simulation / optimisation and distributed computing tools (Map / Reduce, Hadoop, Hive, Spark, Gurobi, Arena, etc.)
- Refactor prototypes of predictive models into highly performant, production ready solutions
- Work closely with Data Engineers and Data Scientists to create analytical variables, metrics, and models
- Work closely with data scientists to solve difficult engineering and machine learning problems and produce high-quality code
- Choose and use the right analytical libraries, programming languages, and frameworks for each task
- Contribute to building client capabilitiesby coaching team members on data science methodologies and approaches
- Contribute to best coding and engineering practice across AI projects
- Build / refactor / develop code into reusable libraries, APIs, and tools
- Able to build a sense of trust and rapport that creates a comfortable & effective workplace; collaborative
- Attitude to thrive in a fun, fast-paced, startup-like environment
- Open minded to new approaches and learning
Benefits
Note : If interested please send your updated resume to [email protected] and include your rate requirement along with your contact details with a suitable time when we can reach you. If you know of anyone in your sphere of contacts, who would be a perfect match for this job then, we would appreciate if you can forward this posting to them with a copy to us.
We look forward hearing from you at the earliest!