Design, implement, and validate machine learning / deep learning models (supervised and unsupervised)Extract near-Earth astrodynamics data from noisy images under constrained hardware resourcesIdentify time series representing an object's dynamicsCluster time series dataInfer astrodynamics parameters from partial observationsAnalyze long-term trends and behavior of objects in orbitDeploy these models to cloud infrastructures or on embedded (edge) devicesDevelop robust, reusable software components (beyond research prototypes)Collaborate with a multidisciplinary teamMaintain continuous scientific monitoring, synthesize key findings, and translate them into actionable recommendations for technical and non-technical audiencesEvaluate solution performance using simulated and real dataClearly document algorithms, workflows, and resultsRequirementsMaster's degree or PhD in Machine Learning, Physics, Electrical or Computer Engineering, Applied Mathematics, Aerospace, or a related fieldMinimum of 5 years of relevant experienceBilingual in French and English (written and spoken)Strong fundamentals in machine learning, probability, statistics, and optimizationHands-on experience with deep learning frameworks (e.G., PyTorch), Python and its scientific libraries,



and developing and debugging custom modelsGood command of deep learning architectures: convolutional networks, attention-based architectures, adapting pre-trained models or designing models from scratchAbility to design proofs of concept with production constraints: modularity, scalability, and reproducibilityGood software engineering practices: Git, testing, CI/CDCore CompetenciesDemonstrates expertise in designing and implementing machine learning and deep learning models, with a robust foundation in probability, statistics, and optimization. Proficient in deploying models to cloud infrastructures and embedded devices while adhering to software engineering best practices.Highest-signal resume keywordsMachine Learning Model DevelopmentDeep Learning Frameworks (PyTorch)Python ProgrammingAstrodynamics Data AnalysisBilingual in French and EnglishATS Optimization KeywordsHard SkillsMachine LearningDeep LearningProbabilityStatisticsOptimizationTime Series AnalysisData ClusteringAlgorithm DocumentationSoftware Component DevelopmentModel EvaluationSoft SkillsCollaborationCommunicationCertifications & QualificationsMaster's DegreePhDIndustry KeywordsAstrodynamicsEmbedded SystemsCloud InfrastructureModularityScalabilityTools & TechnologiesGitCI/CDScientific Libraries #J-18808-Ljbffr

📌 Machine Learning Specialist, Ssa (Montreal)
🏢 Jobtailor
📍 Montreal