Overview
Zurich (Schaumburg, IL) seeks an AI Ops Engineer II to participate in the production deployment and automation of Generative AI solutions, serving as an AI operations subject matter expert for other technical teams within the Data and Analytics unit.
Responsibilities
- research industry best practices, evaluate new technologies, develop standards and engineering best practices and recommend innovative solutions that support automation and improve platform resiliency and fault tolerance of critical applications (10%)
- participate in deployment of Generative AI Platform Capabilities with responsibility for AI model delivery to cloud platforms (Databricks, MLflow, Azure ML) (40%)
- act as an expert resource for other technical teams within Data & Analytics (20%)
- assist with hardware and capacity planning, analysis and forecasts for your portfolio of applications with focus on highest availability, scalability, performance, and timely delivery (10%)
- execute on roadmaps that align with technology and business strategy (10%)
- participate in day-to-day standups for platform capability build (5%)
- provide SME guidance for data science teams (5%)
Qualifications
Bachelor's degree, or foreign equivalent, in Computer Science, Applied Data Analytics, or a closely related field of study, plus 5 years of experience in the job offered, or as a ML Engineer, DevOps Engineer, Data Analytics Engineer, Software Engineer, or similar position participating in the production deployment; or Master's degree, or foreign equivalent, in Computer Science, Applied Data Analytics, or a closely related field of study, plus 3 years of experience in the job offered, or as a ML Engineer, DevOps Engineer, Data Analytics Engineer, Software Engineer, or similar position participating in the production deploymentMust have 3 years of experience with each of the following : creating Azure services Function Apps and Logic Apps to enable serverless workloads, managing both synchronous and asynchronous request calls; managing releases through CI / CD pipelines by creating pull requests and pushing Docker images into the container registry within a fully functional DevOps repository across multiple environments; and using Python, SQL, Spark, Azure Portal, DevOps, and VS CodeMust also have 2 years of experience with each of the following : working with Dataiku DSS and Azure Databricks; deploying real-time and batch scoring predictive models using MLflow, serverless endpoints and Databricks Workflows; implementing change data capture and utilizing Delta Live Tables to define data transformations while automating data processing pipelines; working with MLflow tracking for model monitoring, as well as registering models via Unity Catalog for data governance, automating refreshing of hyperparameters based on production metrics; developing automated scripts to monitor health status and trigger alerts for various app instances using custom metrics, using deployment slots for versioning across different environments; diagnosing workflows within Azure Logic Apps and logging runtime data to Log Analytics workspace, Azure Storage Account, or Azure Event Hub, while configuring Azure Monitor Logsworking with open-source LLM models, OpenAI endpoints, and various LangChain methods; implementing and automating testing frameworks for pipelines, including regression testing, load / stress testing, automated rollback, unit testing, and integration testingusing Azure Document Intelligence Optical Character Recognition (OCR) models to extract both printed and handwritten text from PDFs, scanned images, .xlsx, .pptx, .html filesusing Azure Prompt Flow for model orchestration, deployment, and testing, streamlining AI application developmentanalyzing various architectural models and translating them into detailed process flows for clearer understanding and implementationRemote / work arrangement
Option to work remotely from anywhere in the U.S.
Application details
Full time position. Apply by submitting your resumes at Zurichna.com / en / careers, Job ID : 127637
Compensation and equal opportunity
Zurich in North America is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race / ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. The salary indicated represents a nationwide market range and has not been adjusted for geographic differentials pertaining to the location where the position may be filled. The proposed salary range for this position is $160,555.
Company context
As an insurer, Zurich complies with 18 U.S. Code § 1033. Zurich maintains a comprehensive employee benefits package for employees as well as eligible dependents and competitive compensation. For more information about Total Rewards, please click here.
Location(s) : AM - Schaumburg
Remote Working : Yes
Schedule : Full Time
Employment Sponsorship Offered : No
Zurich does not accept unsolicited resumes from search firms or employment agencies. Any unsolicited resume will become the property of Zurich American Insurance. If you are a preferred vendor, please use our Recruiting Agency Portal for resume submission.
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