CONFIDENTIAL Sr. Specialist, Machine Learning Engineering

Job description

Conceptual Proactive Problem-Solver Strategic Technologically Savvy Visual Thinker <meta data-json="{"ModuleType":13,"ApplyButtonText":"Apply","JobDetailsAlign":0,"JobDetailsDate":0,"JobDetailsJobTypeId":1,"JobDetailsSelectedDate":"2026-11-06T16:32:35.825Z","JobDetailsJobDateFormat":0,"JobDetailsJobLabelId":"Job ID","JobDetailsJobDatePosting":"Date posted","JobDetailsDescriptionFormat":0,"ShowApplyLater":false,"ShowApplyMobile":true,"ShowApplyLaterMobile":false,"ShowApplyLaterWeb":false,"ApplyLaterText":"Apply Later","ApplyLaterAlign":0,"ApplyLaterSubject":"[[JOB_TITLE]] at [[COMPANY_NAME]]","PublishedCandidateCardPageId":null,"ReferrerPageId":null,"ReferrerPageButtonText":"","ShowSavedJobsIcon":false,"IconLabel":"Save for Later","OverrideCandidateCard":false,"ModulePageType":2,"ModulePageName":"AJD - Design 1","DisplayJobDateFormat":"MM/dd/yyyy","JobDetailsSelectedId":"JR0154794","ApplyUrl":"https://mckesson.wd3.myworkdayjobs.com/External_Careers/job/Cork/CONFIDENTIAL-Sr-Specialist--Machine-Learning-Engineering_JR0154794/apply","JobDescription":"\u003Cp style=\u0022text-align:left\u0022\u003EMcKesson 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 \u2013 we care.\u003C/p\u003E\u003Cp style=\u0022text-align:inherit\u0022\u003E\u003C/p\u003E\u003Cp style=\u0022text-align:left\u0022\u003EWhat 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\u2019s health today, we want to hear from you.\u003C/p\u003E\u003Cp style=\u0022text-align:inherit\u0022\u003E\u003C/p\u003E\u003Cp\u003E\u003Cspan style=\u0022color:#0f4761\u0022\u003EAbout the Role\u003Cspan\u003E\u003C/span\u003E\u003C/span\u003E\u003C/p\u003E\u003Cp style=\u0022color:!important\u0022\u003E\u003Cspan style=\u0022color:#000000\u0022\u003EMcKesson is seeking a Sr. Specialist, Machine Learning Engineering to design, build, and scale production-grade AI, machine learning, and generative AI solutions that deliver meaningful business impact. In this role, you will lead the development of scalable ML platforms, production pipelines, model deployment frameworks, and MLOps capabilities while partnering with cross-functional teams to solve complex business and technology challenges.\u003Cspan\u003E\u003C/span\u003E\u003C/span\u003E\u003C/p\u003E\u003Cp style=\u0022color:!important\u0022\u003E\u003Cspan style=\u0022color:#000000\u0022\u003EYou will provide technical leadership across the full AI lifecycle, from experimentation and model development through deployment, observability, governance, and continuous improvement.\u003Cspan\u003E\u003C/span\u003E\u003C/span\u003E\u003C/p\u003E\u003Cp style=\u0022color:!important\u0022\u003E\u003Cspan style=\u0022color:#0f4761\u0022\u003EWhat You\u0027ll Do\u003Cspan\u003E\u003C/span\u003E\u003C/span\u003E\u003C/p\u003E\u003Cul\u003E\u003Cli\u003E\u003Cspan style=\u0022color:#000000\u0022\u003ELead the design, development, deployment, and operation of enterprise-scale AI/ML and LLM solutions.\u003Cspan\u003E\u003C/span\u003E\u003C/span\u003E\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003E\u003Cspan style=\u0022color:#000000\u0022\u003EBuild and productionize machine learning pipelines using Azure Machine Learning, Azure Databricks, and cloud-native services.\u003Cspan\u003E\u003C/span\u003E\u003C/span\u003E\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003E\u003Cspan style=\u0022color:#000000\u0022\u003EEstablish and enhance MLOps and LLMOps practices including CI/CD, model versioning, automated testing, monitoring, and governance.\u003Cspan\u003E\u003C/span\u003E\u003C/span\u003E\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003E\u003Cspan style=\u0022color:#000000\u0022\u003EDevelop scalable deployment architectures using containerization, infrastructure as code, and automation frameworks.\u003Cspan\u003E\u003C/span\u003E\u003C/span\u003E\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003E\u003Cspan style=\u0022color:#000000\u0022\u003EPartner with data scientists and product teams to transition prototypes into reliable production systems.\u003Cspan\u003E\u003C/span\u003E\u003C/span\u003E\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003E\u003Cspan style=\u0022color:#000000\u0022\u003EImplement model observability, performance monitoring, drift detection, and reliability engineering practices.\u003Cspan\u003E\u003C/span\u003E\u003C/span\u003E\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003E\u003Cspan style=\u0022color:#000000\u0022\u003ELead technical troubleshooting, root cause analysis, and continuous improvement efforts for AI-enabled platforms.\u003Cspan\u003E\u003C/span\u003E\u003C/span\u003E\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003E\u003Cspan style=\u0022color:#000000\u0022\u003EMentor engineers and promote engineering excellence through documentation, knowledge sharing, and best practices.\u003Cspan\u003E\u003C/span\u003E\u003C/span\u003E\u003C/li\u003E\u003C/ul\u003E\u003Cp style=\u0022color:!important\u0022\u003E\u003Cspan style=\u0022color:#0f4761\u0022\u003EBasic Requirements\u003Cspan\u003E\u003C/span\u003E\u003C/span\u003E\u003C/p\u003E\u003Cul\u003E\u003Cli\u003E\u003Cspan style=\u0022color:#000000\u0022\u003E7\u002B years of experience designing, building, and supporting machine learning solutions in enterprise environments.\u003Cspan\u003E\u003C/span\u003E\u003C/span\u003E\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003E\u003Cspan style=\u0022color:#000000\u0022\u003EBachelor\u0027s degree in Computer Science, Engineering, Data Science, Information Systems, or a related field, or equivalent experience.\u003Cspan\u003E\u003C/span\u003E\u003C/span\u003E\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003E\u003Cspan style=\u0022color:#000000\u0022\u003EStrong software engineering experience with Python and modern application development practices.\u003Cspan\u003E\u003C/span\u003E\u003C/span\u003E\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003E\u003Cspan style=\u0022color:#000000\u0022\u003EExperience deploying machine learning models into production cloud environments.\u003Cspan\u003E\u003C/span\u003E\u003C/span\u003E\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003E\u003Cspan style=\u0022color:#000000\u0022\u003EHands-on experience with MLOps including CI/CD pipelines, model lifecycle management, automation, and monitoring.\u003Cspan\u003E\u003C/span\u003E\u003C/span\u003E\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003E\u003Cspan style=\u0022color:#000000\u0022\u003EExperience with Azure Machine Learning, Azure Databricks, or comparable cloud-based machine learning platforms.\u003Cspan\u003E\u003C/span\u003E\u003C/span\u003E\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003E\u003Cspan style=\u0022color:#000000\u0022\u003EExperience with containerization technologies such as Docker and production deployment patterns.\u003Cspan\u003E\u003C/span\u003E\u003C/span\u003E\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003E\u003Cspan style=\u0022color:#000000\u0022\u003EAbility to communicate technical concepts effectively to both technical and business stakeholders.\u003Cspan\u003E\u003C/span\u003E\u003C/span\u003E\u003C/li\u003E\u003C/ul\u003E\u003Cp style=\u0022color:!important\u0022\u003E\u003Cspan style=\u0022color:#0f4761\u0022\u003EPreferred Skills/Experience\u003Cspan\u003E\u003C/span\u003E\u003C/span\u003E\u003C/p\u003E\u003Cul\u003E\u003Cli\u003E\u003Cspan style=\u0022color:#000000\u0022\u003EExperience developing and deploying Generative AI and Large Language Model (LLM) solutions.\u003Cspan