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AI/ML工程师

雇主

Cardinal Health

地点

远程 · 美国

待遇

$USD 94,900 - USD 122,400 / annual

工作模式

远程

截止日期

12月12日

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岗位摘要

What Data Science contributes to Cardinal Health The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage.

岗位职责

What Data Science contributes to Cardinal Health
The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling.
Data Scienceapplies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems.
Job Overview
We are seeking a product-oriented AI/ML Engineer who partners with product managers, software engineers, data engineers, and business stakeholders to design and deliver enterprise-scale Generative AI solutions. In this role, you will be hands-on in the development of AI-powered applications, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, intelligent automation workflows, and conversational experiences.
The ideal candidate combines strong software engineering fundamentals with expertise in modern AI technologies and cloud-native application development. You will be responsible for transforming business problems into scalable AI solutions, building production-grade ML systems, integrating AI capabilities into enterprise platforms, and ensuring solutions are secure, reliable, and measurable.
This role is ideal for an engineer who enjoys working across the full lifecycle of AI products, from experimentation and prototyping to deployment, monitoring, optimization, and business adoption.
Qualifications
4-8yearsofexperienceinSoftwareEngineering,MachineLearningEngineering,AIEngineering,orrelatedfieldspreferred.
Bachelor'sdegreeinComputerScience,Engineering,DataScience,ArtificialIntelligence,orrelateddiscipline;equivalentexperienceconsidered.
StrongproficiencyinPythonandexperiencedevelopingproduction-gradeapplications.
ExperiencebuildingRESTAPIsusingframeworkssuchasFastAPI,Flask,orsimilartechnologies.
ExperienceworkingwithinAgileandSDLCframeworks.
ExperienceusingGitHubandCI/CDplatforms(GitHubActions,GitLab,AzureDevOps,Jenkins,Harness,etc.).
ExperiencecontainerizingapplicationsusingDocker.
ExperiencedeployingandmanagingworkloadsonKubernetesplatforms(GKE,AKS,EKS,OpenShift,etc.).
ExperienceworkingwithcloudplatformssuchasGoogleCloudPlatform(GCP),Azure,orAWS.
Requirements
ExperiencedesigningandimplementingGenerativeAIsolutionsusingLargeLanguageModels(OpenAI,Gemini,Claude,Llama,Mistral,orsimilar).
StrongunderstandingofRetrieval-AugmentedGeneration(RAG)architectureandvectordatabases.
ExperiencebuildingAIAgentsandmulti-agentworkflowsusingframeworkssuchasLangGraph,LangChain,CrewAI,SemanticKernel,orequivalent.
ExperienceintegratingAIservicesthroughAPIsandenterprisesystems.
Knowledgeofpromptengineering,evaluationframeworks,andAIapplicationoptimizationtechniques.
FamiliaritywithMLOpsandLLMOpsconcepts,includingmodeldeployment,monitoring,observability,andgovernance.
ExperienceimplementingresponsibleAI,security,privacy,andcompliancecontrolsforenterpriseAIsolutions.
AbilitytodevelopscalableAIsolutionsusingcloud-nativearchitecturesandevent-drivenpatterns.
ExperienceworkingwithrelationalandNoSQLdatabases.
Strongunderstandingofsoftwaredesignpatterns,testingstrategies,andproductionsupportpractices.
ProvenabilitytocollaborateeffectivelywithproductteamstotranslatebusinessrequirementsintoAI-poweredsolutions.
Excellentcommunicationskillswiththeabilitytoexplaintechnicalconceptstobothtechnicalandnon-technicalaudiences.
What is expected of you and others at this level
Applies comprehensive knowledge and a thorough understanding of concepts, principles, and technical capabilities to perform varied tasks and projects
May contribute to the development of policies and procedures
Works on complex projects of large scope
Develops technical solutions to a wide range of difficult problems
Solutions are innovative and consistent with organization objectives
Completes work; independently receives general guidance on new projects
Work reviewed for purpose of meeting objectives
May act as a mentor to less experienced colleagues
Anticipated salary range: $94,900 - $122,400
Bonus eligible: No
Benefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being.
Medical, dental and vision coverage
Paid time off plan
Health savings account (HSA)
401k savings plan
Access to wages before pay day with myFlexPay
Flexible spending accounts (FSAs)
Short- and long-term disability coverage
Work-Life resources
Paid parental leave
Healthy lifestyle programs
Application window anticipated to close: 09/20/2026 *if interested in opportunity, please submit application as soon as possible.
The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate’s geographical location, relevant education, experience and skills and an evaluation of internal pay equity.
Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply.
Cardinal Healthsupports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law.
To read and review this privacy notice click here
Originally posted on Himalayas

申请条件

4-8 years of experience in Software Engineering, Machine Learning Engineering, AI Engineering, or related fields preferred.
Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or related discipline; equivalent experience considered.
Strong software engineering fundamentals.
Expertise in modern AI technologies.
Experience with cloud-native application development.
Hands-on experience with Large Language Models (LLMs).
Experience with Retrieval-Augmented Generation (RAG).
Experience with AI Agents.
Experience with intelligent automation workflows.
Experience with conversational experiences.
Ability to design and deliver enterprise-scale Generative AI solutions.
Ability to transform business problems into scalable AI solutions.
Experience building production-grade ML systems.
Experience integrating AI capabilities into enterprise platforms.
Ability to ensure solutions are secure, reliable, and measurable.
Experience across the full lifecycle of AI products, from experimentation and prototyping to deployment, monitoring, optimization, and business adoption.
Ability to partner with product managers, software engineers, data engineers, and business stakeholders.
Product-oriented mindset.

雇主简介

Cardinal Health是一家医疗健康服务公司,提供药品分销、医疗产品制造及相关数据分析解决方案。

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