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Senior Machine Learning Engineer (12 month Fixed term contract)

Cork, Irlande
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Profil recherché

Qu’est-ce qui définit Senior Machine Learning Engineer (12 month Fixed term contract) couronné de succès? Voici les qualités principales de cette personne :

  • Conceptualisation
  • Proactivité
  • Résolution de problèmes
  • Stratégie
  • Fine pointe de la technologie
  • Pensée visuelle

La Culture

Accomplissement

Mettre à profit vos aptitudes dans la résolution de problèmes pour maximiser le temps disponible de nos produits et assurer une expérience agréable à notre clientèle, tout en maintenant un équilibre travail-vie personnelle sain.

Innovation

à l’aide de nos données en évolution et de nos outils technologiques, surveiller et analyser l’information et les tendances pour définir les prochaines étapes de notre mission d’améliorer les soins de santé.

Création

Parvenir à des solutions qui contribuent à éliminer les obstacles de coût pour améliorer la distribution et maintenir l’efficacité des médicaments. Vous jouerez un rôle clé dans le façonnement d’une industrie mondiale.

Avantages sociaux

  • Une couverture sur laquelle vous pouvez compter :

    • Soins médicaux, dentaires et de la vue
    • Compte de frais médicaux
    • Compte de frais variables
  • Des avantages sociaux qui surpassent votre salaire de base :

    • 401(k) (États-Unis)
    • Régime de retraite (Canada)
    • Régime d’actionnariat privilégié pour le personnel
  • Soutien au bien-être global :

    • Programmes de santé mentale
    • Horaires de travail flexibles
    • Congés payés
    • Programme de mieux-être
    • Remboursement des droits de scolarité
    • Occasions de bénévolat
    • Environnement de travail flexible
  • Un chef de file mondial de l’inclusion :

    L’engagement de McKesson envers la diversité et l’inclusion commence au sommet. Nous figurons d’ailleurs à la liste des Meilleurs employeurs en matière de diversité compilée par Forbes.

Responsabilité

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.

As a McKesson Machine Learning Engineer (MLE), you'll be part of a lean software team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. 

As a Senior Machine Learning Engineer, you will be joining a team of experienced Machine Learning Engineers that support, build, and enable Machine Learning capabilities across the organization. You will work closely with internal customers and infrastructure teams to build our next generation data science workbench and ML platform and products. You will be able to further expand your knowledge and develop your expertise in modern Machine Learning frameworks, libraries and technologies while working closely with internal stakeholders to understand the evolving business needs. If you have a penchant for creative solutions and enjoy working in a hands-on, collaborative environment, then this role is for you.

What you’ll do in the role

·       The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:

·       Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. 

·       Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation).

·       Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. 

·       Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. 

·       Retrain, maintain, and monitor models in production.

·       Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.

·       Construct optimized data pipelines to feed ML models. 

·       Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. 

·       Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. 

·       Use programming languages like Python, C++, Scala, or Golang

Basic Qualifications:

·       Bachelor’s degree or equivalent work experience

·       At least 4 years of experience programming with Python, C++, Scala, or Golang

·       At least 3 years of experience designing and building data-intensive solutions using distributed computing 

·       At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, Kubeflow, or TensorFlow) 

·       At least 1 year of experience productionizing, monitoring, and maintaining models 

Preferred Qualifications:

·       1+ years of experience building, scaling, and optimizing ML systems

·       1+ years of experience with data gathering and preparation for ML models

·       2+ years of experience developing performant, resilient, and maintainable code

·       Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform

·       Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 

·       3+ years of experience with distributed file systems or multi-node database paradigms

·       Contributed to open-source ML software 

·       Authored/co-authored a paper on a ML technique, model, or proof of concept

·       3+ years of experience building production-ready data pipelines that feed ML models 

·       Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance 

At McKesson, we care about the well-being of the patients and communities we serve, and that starts with caring for our people. That’s why we have a Total Rewards package that includes comprehensive benefits to supportphysical, mental, and financial well-being. Our Total Rewards offerings serve the different needs of our diverse employee population and ensure they are the healthiest versions of themselves.

As part of Total Rewards, we are proud to offer a competitive compensation package at McKesson. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations.In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered.

Our Base Pay Range for this position

€66,800 - €111,300
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