Ml Engineer
Abbeal
ML Engineer (Python, MLOps, IA générative), lab IA et données, Montréal (télétravail)
Poste permanent chez Abbeal : transformer des prototypes de machine learning et d'IA en systèmes fiables en production, sur plusieurs projets clients d'un lab IA. Télétravail au Québec.Abbeal recrute un ou une ML engineer en poste permanent. Vous rejoignez notre équipe et travaillez au sein d'un lab spécialisé en IA, en machine learning et en ingénierie des données, sur plusieurs projets clients en parallèle.Le lab est une petite équipe technique qui conçoit des solutions d'IA et de machine learning pour des clients de secteurs variés. Son savoir-faire : passer vite d'une idée à un prototype, puis d'un prototype à un système fiable. Au fil de l'année, vous interviendrez sur plusieurs projets, chacun avec ses données, ses contraintes et sa stack.Le rôle
Concevoir et développer des solutions de ML et d'IA en appliquant les bonnes pratiques du génie logicielTransformer des prototypes en applications robustes, prêtes pour la productionDévelopper des API, des services et des pipelines d'entraînement et d'inférenceDéployer, surveiller et optimiser les systèmes de ML et d'IA en productionContribuer à l'architecture logicielle, aux pratiques MLOps et à l'automatisation des déploiementsParticiper aux échanges avec les clients, au cadrage, aux choix d'architecture et à la R&DProfil recherché
Excellente maîtrise de Python et solides bases en génie logiciel : architecture, tests, qualité du codeMachine learning avec scikit-learn, PyTorch ou TensorFlowExpérience de mise en production de modèlesDéveloppement d'API et de services backendPratiques MLOps, Docker et KubernetesCloud AWS, GCP ou Azure, Git et CI/CDAutonomie, rigueur et communication claire au sein d'une équipe multidisciplinaireAtouts
LLM, RAG et IA générative, agents IAServices de ML sur le cloud : SageMaker, Vertex AI, Azure Machine LearningExpérience en conseil, en petite équipe technique ou sur des projets d'IA appliquéeCes atouts sont des exemples, pas une liste à cocher : la maîtrise des concepts et la capacité d'adaptation comptent davantage.Modalités
Poste permanent chez AbbealTélétravail, sur le fuseau horaire du QuébecFrançais et anglais idéalement, profils anglophones bienvenusOrganisation en sprints courts, avec un suivi rigoureux des tâchesML Engineer (Python, MLOps, IA générative), lab IA et données, Montréal (télétravail)
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Poste permanent chez Abbeal : transformer des prototypes de machine learning et d'IA en systèmes fiables en production, sur plusieurs projets clients d'un lab IA. Télétravail au Québec.Abbeal recrute un ou une ML engineer en poste permanent. Vous rejoignez notre équipe et travaillez au sein d'un lab spécialisé en IA, en machine learning et en ingénierie des données, sur plusieurs projets clients en parallèle.Le lab est une petite équipe technique qui conçoit des solutions d'IA et de machine learning pour des clients de secteurs variés. Son savoir-faire : passer vite d'une idée à un prototype, puis d'un prototype à un système fiable. Au fil de l'année, vous interviendrez sur plusieurs projets, chacun avec ses données, ses contraintes et sa stack.Le rôle
Concevoir et développer des solutions de ML et d'IA en appliquant les bonnes pratiques du génie logicielTransformer des prototypes en applications robustes, prêtes pour la productionDévelopper des API, des services et des pipelines d'entraînement et d'inférenceDéployer, surveiller et optimiser les systèmes de ML et d'IA en productionContribuer à l'architecture logicielle, aux pratiques MLOps et à l'automatisation des déploiementsParticiper aux échanges avec les clients, au cadrage, aux choix d'architecture et à la R&DProfil recherché
Excellente maîtrise de Python et solides bases en génie logiciel : architecture, tests, qualité du codeMachine learning avec scikit-learn, PyTorch ou TensorFlowExpérience de mise en production de modèlesDéveloppement d'API et de services backendPratiques MLOps, Docker et KubernetesCloud AWS, GCP ou Azure, Git et CI/CDAutonomie, rigueur et communication claire au sein d'une équipe multidisciplinaireAtouts
LLM, RAG et IA générative, agents IAServices de ML sur le cloud : SageMaker, Vertex AI, Azure Machine LearningExpérience en conseil, en petite équipe technique ou sur des projets d'IA appliquéeCes atouts sont des exemples, pas une liste à cocher : la maîtrise des concepts et la capacité d'adaptation comptent davantage.Modalités
Poste permanent chez AbbealTélétravail, sur le fuseau horaire du QuébecFrançais et anglais idéalement, profils anglophones bienvenusOrganisation en sprints courts, avec un suivi rigoureux des tâchesML Engineer (Python, MLOps, IA générative), lab IA et données, Montréal (télétravail)
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