McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care.
What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you.
Aperçu du poste
Nous recherchons un/une Ingénieur(e) en Apprentissage Automatique Senior hautement qualifié et expérimenté pour rejoindre notre équipe. Le/la candidat(e) retenu jouera un rôle crucial dans le développement et la mise en œuvre de modèles avancés d'apprentissage automatique, en mettant l'accent sur la garantie de la qualité de nos solutions de production. Ce poste offre une opportunité passionnante de diriger la migration de nos solutions vers la production, de guider les membres de l'équipe et de collaborer avec des experts en intelligence artificielle, des data scientists et des ingénieurs dans un environnement d'équipe dynamique et solidaire.
Le/la candidat(e) retenu sera également attendu pour soutenir les initiatives de science des données grâce à l'application de techniques analytiques avancées en collaboration avec les data scientists.
Responsabilités clés :
Diriger la conception, le développement et le déploiement de pipelines de modèles d'apprentissage automatique robustes pour soutenir les initiatives d'IA.
Favoriser la collaboration avec des équipes interfonctionnelles pour intégrer de manière transparente les solutions d'apprentissage automatique dans les systèmes existants.
Développer et améliorer un cadre complet de MLOps pour soutenir le suivi des modèles, le déploiement et l'amélioration continue au sein de l'équipe IA et Innovation.
Optimiser, ajuster et évaluer les modèles pour garantir une haute précision et performance.
Encadrer et fournir un leadership technique aux membres juniors de l'équipe.
Se tenir à la pointe des dernières avancées en matière de technologies d'apprentissage automatique et d'IA, en stimulant l'innovation au sein de l'équipe.
Agir en tant qu'expert en la matière, en fournissant des idées stratégiques et des conseils sur les meilleures pratiques en IA/ML.
Soutenir le développement et le déploiement d'algorithmes d'apprentissage automatique.
Qualifications :
Diplôme de licence en science des données, informatique, statistiques, mathématiques ou dans un domaine connexe (master préféré).
Plus de 5 ans d'expérience en science des données, avec un accent sur l'IA et l'apprentissage automatique.
Expertise avérée dans les environnements cloud, y compris AWS, Azure et GCP, avec une expérience significative dans le déploiement de modèles sur des plateformes cloud.
Connaissance avancée des outils MLOps tels que Kubeflow, MLFlow et des systèmes de contrôle de version.
Compétences analytiques et de résolution de problèmes solides avec un historique de livraison de projets réussis.
Excellentes compétences en leadership et en communication, avec un esprit collaboratif et innovant.
Expérience significative avec Azure Databricks, AzureML, tel que Azure ML Studio.
Certifications pertinentes en intelligence artificielle ou apprentissage automatique.
Expérience dans le développement de modèles d'apprentissage automatique.
Expertise avancée en vision par ordinateur et traitement du langage naturel (NLP)
Bilingue (français et anglais) préféré.
Le.la titulaire de ce poste aura à soutenir de façon quotidienne des clients internes et/ou externes à l’extérieur du Québec et/ou aux États-Unis. Par conséquent, ce poste requiert une maîtrise de l’anglais à l’écrit et à l’oral. Veuillez noter que le nombre de postes dont les tâches requièrent une connaissance de la langue anglaise a été restreint dans la mesure du possible.
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Position Overview
We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our team. The successful candidate will play a pivotal role in the development and implementation of advanced machine learning models, focusing on ensuring the quality of our production solutions. This position offers an exciting opportunity to lead the migration of our solutions to production, mentor team members, and collaborate with AI experts, data scientists, and engineers in a dynamic and supportive team environment.
The successful candidate would also be expected to support data science initiatives through the application of advanced analytical techniques in collaboration with data scientists.
Key Responsibilities:
Lead the design, development, and deployment of robust machine learning model pipelines to support AI initiatives.
Drive collaboration with cross-functional teams to seamlessly integrate machine learning solutions into existing systems.
Develop and enhance a comprehensive MLOps framework to support model tracking, deployment, and continuous improvement within the AI and Innovation team.
Optimize, fine-tune, and evaluate models to ensure high accuracy and performance.
Mentor and provide technical leadership to junior team members.
Stay at the forefront of the latest advancements in machine learning and AI technologies, driving innovation within the team.
Act as a subject matter expert, providing strategic insights and guidance on AI/ML best practices.
Support the development and deployment of machine learning algorithms.
Qualifications:
Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field (Master’s preferred).
Extensive proficiency in Python and deep familiarity with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
Proven expertise in cloud environments including AWS,Azure, and GCP, with significant experience deploying models on cloud platforms.
Advanced knowledge of MLOps tools like Kubeflow, MLFlow, and version control systems.
Strong analytical and problem-solving skills with a proven track record of successful project delivery.
Excellent leadership and communication skills, with a collaborative and innovative mindset
Significant experience with Azure Databricks, AzureML, such as Azure ML Studio.
Relevant certifications in AI or machine learning.
Experience developing machine learning models.
Advanced expertise in computer vision and natural language processing (NLP).
Bilingual (French and English) preferred.
The incumbent of this position will provide daily support to internal and/or external clients outside Quebec and/or in the United States. Therefore, he/she must be proficient in spoken and written English. Please note that the number of positions requiring English language skills has been limited where possible.
We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here.
McKesson is an Equal Opportunity Employer
McKesson provides equal employment opportunities to applicants and employees and is committed to a diverse and inclusive environment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age or genetic information. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.
Join us at McKesson!
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