Python Back End Software Developer (AI team) / Développeurs logiciels (Python) | Montreal,QC,Canada

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Collaborate with the team in utilizing service health indicators and telemetry for action. Assist in conducting root cause analysis and implementing measures to prevent future recurrences. Dev Ops Model: Understanding of working in a DevOps Model. Begin to take ownership of working with product management on requirements to design, develop, test, deploy and maintain the software in production. Documentation: Properly document new features, enhancements or fixes to the product, and also contribute to training materials. Developpement de logiciels : \u00c9crivez du code propre, facile a maintenir et efficace ou diverses applications et systemes logiciels. Developpement de produits GenAI : Participez a l'ensemble du cycle de vie du developpement de l'IA, y compris la collecte de donnees, le pretraitement, l'entrainement du modele, l'evaluation et le deploiement. Participez a la recherche et a l'experimentation de techniques d'IA generative de pointe pour ameliorer les performances et les capacites du modele. Conception et architecture : Participez aux revues de conception avec vos pairs et les parties prenantes Revision du code : Examinez le code developpe par d'autres developpeurs, en fournissant des commentaires en respectant les meilleures pratiques standard de l'industrie, telles que les directives de codage Tests : Creez des logiciels testables, definissez des tests, participez au processus de test, automatisez les tests a l'aide d'outils (par exemple, Junit, Selenium) et de modeles de conception en utilisant la pyramide d'automatisation des tests comme guide. Debogage et depannage : Triez les defauts ou les problemes signales par le client, deboguez et resolvez de maniere rapide et efficace. 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Proficiency as a developer using Python, FastAPI, PyTest, Celery and other Python frameworks. Experience with software development practices and design patterns. Familiarity with version control systems like Git GitHub and bug/work tracking systems like JIRA. Basic understanding of cloud technologies and DevOps principles. Strong analytical and problem-solving skills, with a proven track record of building and shipping successful software products and services. Experience with object-oriented programming, concurrency, design patterns, and REST APIs. Experience with CI/CD tooling such as Terraform and GitHub Actions. High level familiarity with AI/ML, GenAI, and MLOps concepts. Familiarity with frameworks like LangChain and LangGraph. Experience with SQL and NoSQL databases such as MongoDB, MSSQL, or Postgres. Experience with testing tools such as PyTest, PyMock, xUnit, mocking frameworks, etc. Experience with GCP technologies such as VertexAI, BigQuery, GKE, GCS, DataFlow, and Kubeflow. Experience with Docker and Kubernetes. Experience with Java and Scala a plus. Baccalaureat en informatique, en ingenierie ou dans un domaine technique connexe, ou experience pratique equivalente. 2+ ans d'experience professionnelle en developpement de logiciels. Maitrise en tant que developpeur utilisant Python, FastAPI, PyTest, Celery et d'autres frameworks Python. Experience des pratiques de developpement de logiciels et des modeles de conception. Familiarite avec les systemes de controle de version comme Git, GitHub et les systemes de suivi des bogues/travaux comme JIRA. Comprehension de base des technologies cloud et principes DevOps. Solides competences analytiques et de resolution de problemes, avec une experience averee dans la creation et la livraison de produits et services logiciels reussis. Experience de la programmation orientee objet, de la concurrence, des modeles de conception et des API REST. Experience avec les outils CI/CD tels que Terraform et GitHub Actions. Connaissance approfondie des concepts d'IA/ML, de GenAI et de MLOps. Familiarite avec des frameworks tels que LangChain et LangGraph. Experience des bases de donnees SQL et NoSQL telles que MongoDB, MSSQL ou Postgres. Experience avec des outils de test tels que PyTest, PyMock, xUnit, des frameworks de mocking, etc. Experience des technologies GCP telles que VertexAI, BigQuery, GKE, GCS, DataFlow et Kubeflow. Experience avec Docker et Kubernetes. 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