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Home » Healthcare Internships Summer 2022 – Senior Director Machine Learning Engineer In Jeffersonville

Healthcare Internships Summer 2022 – Senior Director Machine Learning Engineer In Jeffersonville

    Website McKesson

    Job Description:

    McKesson Corporation is a Fortune 8 company and is one of the largest providers of healthcare supply chain management solutions, retail pharmacy, medical & pharmaceutical supplies, healthcare technology, community oncology and specialty care in the United States with revenues of $231 billion in 2020. The company was founded in 1833 by John McKesson and Charles Olcott in New York with a focus on importing and wholesaling pharmaceutical products. United by our ICARE shared principles, McKesson’s 80,000 employees work together every day to make better care possible around the globe – one product, one partner, one patient at a time.

    Job Responsibilities:

    • Create and lead execution of our MLOps CI/CD/CT strategy to standardize batch and streaming training and serving of ML Web apps and APIs.
    • Create the roadmap for our next generation data science workbench integrated with our new data mesh
    • Recruit top talent machine learning engineers to join your team. Drive adoption of best-in-class capabilities, including Deep Learning, Natural Language Processing and Next Best Action Recommenders.
    • Build, scale, deploy, and manage data science solutions in a multi-cloud environment to provide predictive insights that further McKesson’s mission to improve care in every setting.
    • Communicate strategy and results to technical and non-technical audiences; Develop and maintain strong relationships with key stakeholders, partners, and internal clients.
    • Direct machine learning engineers; Provide analytics leadership; Conduct weekly methodology/code reviews; Utilize industry and academic resources to continuously learn, innovate, and contribute to a growing knowledge base of data science best practices.
    • Collaborate with multi-disciplinary team members (data scientists, data engineers and business analysts); Manage business stakeholder relationships to drive action and value from data science insights
    • Partner with digital accelerators, universities, and consultants to accelerate innovation; Opportunities to co-author peer-reviewed publications and patent your AI/ML innovations
    • Understand McKesson’s complex and diverse data environment to design data strategy for use in machine learning models; Analyze complex health, business transaction, and supply chain datasets
    • Solve problems from the business point of view, build and execute solid analytics work plans, gather and organize large and complex data assets, perform relevant analyses (data exploration and statistical modeling), automate work streams, foster teamwork in interactions, develop client relationships with business stakeholders, and communicate hypotheses and findings in a structured way.

    Job Requirements/Qualifications:

    • 15 years Relevant experience in machine learning; and software engineering, architecture and design is required.
    • 5yr management and mentorship experience with machine learning engineers/data scientists in business or scientific research settings.
    • Expert experience in one or more programming languages, Python plus Java, C/C++, …
    • Expert experience with MLOps, CI/CD/CT, scalable ML deployment (e.g. MLFlow, Kubeflow, Docker, Kubernetes)
    • Expert experience with cloud computing in Azure or GCP
    • Experience with distributed computing: (e.g. Databricks, Apache Spark, Hadoop…)
    • Experience with data pipelines, streaming architecture (Kafka), data engineering, creating feature stores, processing unstructured and structured data at scale.
    • Industry experience using TensorFlow and Pytorch to develop Representation Machine Learning Systems; e.g. Next-Best-Action, Recommendation systems; Deep Learning Neural Networks; Image understanding; Document classification and keyword extraction

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