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Library Science Jobs in Brookfield, WI (NOW HIRING)

Jobtailor

Senior MLOps Engineer

Menomonee Falls, WI · On-site

$104K - $144K/yr

Support Data Scientists in using cloud-based tools and infrastructure * Collaborate with machine ... Extensive expertise in Python and machine learning libraries such as TensorFlow, PyTorch, and ...

CentroMotion

EHS & ESG Specialist

Waukesha, WI · On-site

Maintain ESG evidence libraries, dashboards, and reporting tools. Partner with HR, Finance ... Science, Safety, or a related field. 3 to 5 years of experience in one or more of the following ...

CentroMotion

EHS & ESG Specialist

Waukesha, WI · On-site

Administer Safety Data Sheet (SDS) systems and libraries. * Support SDS creation, updates, and ... Science, Safety, or a related field. * 3 to 5 years of experience in one or more of the following ...

Varsity Tutors

Python Tutor

Milwaukee, WI · Remote

$40/hr

... libraries including NumPy, Pandas, and Matplotlib. Ability to explain Pythonic programming conventions, decorators, and generators while preparing students for data science, web development ...

CentroMotion

EHS & ESG Specialist

Waukesha, WI · On-site

... libraries. • Support SDS creation, updates, and document management for global markets. • ... Science, Safety, or a related field. • 3 to 5 years of experience in one or more of the following ...

NJT Automation LLC

Front-End Developer

Milwaukee, WI · On-site

$102K - $119K/yr

Develop reusable UI components and shared libraries for visual consistency and faster feature ... Bachelor's degree in Computer Science, Information Systems, or Computer Engineering * Strong ...

Johnson Controls

Ai Engineer

Milwaukee, WI · On-site

Familiarity with data science libraries and workflows-pandas, scikit-learn, and model evaluation and experimentation. * Experience with JCI's stack-or comparable platforms-including Palantir AIP ...

Johnson Controls

Ai Engineer

Milwaukee, WI · On-site

Familiarity with data science libraries and workflows-pandas, scikit-learn, and model evaluation and experimentation. * Experience with JCI's stack-or comparable platforms-including Palantir AIP ...

Merck Group

Senior Product Manager

Milwaukee, WI · On-site

$124K - $164K/yr

Our colleagues across the globe love innovating with science and technology to enrich people ... libraries that drive pull-through across the Biochemistry portfolio. * Partner with the marketing ...

Mindful Measures Inc

Full Stack Developer

Milwaukee, WI · On-site

Expertise in front-end technologies, including JavaScript, CSS3 and HTML5 and third-party libraries ... Bachelor's Degree in Computer Science * 1-2 years of experience * Industry certifications such as ...

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Library Science information

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How much do library science jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for library science in Brookfield, WI is $14.90, according to ZipRecruiter salary data. Most workers in this role earn between $11.15 and $16.63 per hour, depending on experience, location, and employer.

What is library science?

Library science is the field that deals with the organization, management, and dissemination of information resources within libraries and similar institutions. Professionals in library science are responsible for cataloging books and media, helping patrons locate information, and preserving collections. They may also work with digital resources, data management, and information literacy. The field combines elements of information technology, archival science, and customer service to support education and research.

What are the key skills and qualifications needed to thrive as a library science professional?

To thrive in Library Science, you need a solid grounding in information organization, research, and cataloging, typically supported by a master's degree in library science (MLS or MLIS). Familiarity with integrated library systems (ILS), digital archives, and metadata standards like MARC or Dublin Core is essential. Strong interpersonal skills, customer service orientation, and adaptability help professionals assist diverse patrons and manage changing information needs. These skills are crucial for efficiently organizing resources, facilitating information access, and supporting lifelong learning in a rapidly evolving field.

What are some common challenges faced by professionals in library science, and how can they be addressed?

Library science professionals often encounter challenges such as adapting to rapidly evolving technology, managing diverse patron needs, and navigating budget constraints. Staying current with digital resources and library management systems is essential, as is developing strong communication skills to serve a wide range of users. Proactively engaging in professional development, collaborating with colleagues, and seeking innovative ways to deliver services can help address these challenges while enhancing the value libraries provide to their communities.

What is the difference between Library Science vs Archivist?

AspectLibrary ScienceArchivist
Required CredentialsMaster's degree in Library Science or Information ScienceBachelor's or Master's degree in Archival Studies, History, or Library Science
Work EnvironmentPublic, academic, or special librariesArchives, museums, or historical repositories
Employer & Industry UsageLibraries, educational institutions, government agenciesHistorical societies, museums, government archives
Common Search & ComparisonLibrary Science vs Archivist

Library Science and Archivists both work with information management, but Library Science focuses on organizing and providing access to library resources, while Archivists preserve and manage historical records and documents. Their roles often overlap in information organization, but their environments and specific skills differ.

Are there jobs in library science?

Yes, library science professionals such as librarians, archivists, and library technicians are employed in public, academic, special, and school libraries. These roles often require a master's degree in library science or a related field and involve managing collections, assisting users, and organizing information using library management systems.

Is library science a good career?

Library science is a viable career for individuals interested in managing information, assisting users, and organizing collections. It typically requires a master's degree in library science or information studies and involves skills in technology, cataloging, and research. Job prospects can vary based on location and institutional funding, but the field offers opportunities in public, academic, and special libraries.

What do you do with a library science degree?

A library science degree prepares individuals for careers as librarians, archivists, information specialists, or library technicians. These roles involve managing collections, assisting users, organizing information, and using library management systems. Additional certifications or knowledge of digital resources and cataloging standards are often beneficial.

What are popular job titles related to Library Science jobs in Brookfield, WI?

For Library Science jobs in Brookfield, WI, the most frequently searched job titles are:

What job categories do people searching Library Science jobs in Brookfield, WI look for?

The top searched job categories for Library Science jobs in Brookfield, WI are:

What cities near Brookfield, WI are hiring for Library Science jobs?

Cities near Brookfield, WI with the most Library Science job openings:

Library Science jobs near you
Infographic showing various Library Science job openings in Brookfield, WI as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, and 3% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $30,987 per year, or $14.9 per hour.

Senior MLOps Engineer

Menomonee Falls, WI • On-site

Jobtailor
See more jobs at Jobtailorexternal

$104K - $144K/yr

Other

Posted 7 days ago

Job description

  • Support cross-functional teams in designing, deploying, and operating machine learning solutions
  • Build and scale ETL pipelines
  • Deploy models into customer-facing applications
  • Enable efficient model development through cloud infrastructure and tooling
  • Design, build, and maintain scalable ML infrastructure for real-time and batch model serving, training environments, and orchestration systems
  • Contribute to the Machine Learning Engineering and Data Science tools roadmap
  • Develop reusable frameworks and standardized solutions for model implementation
  • Support Data Scientists in using cloud-based tools and infrastructure
  • Collaborate with machine learning engineers to share knowledge and improve best practices
  • Develop and maintain monitoring, alerting, and automated testing frameworks
  • Develop, document, and communicate implementations and best practices across the data science lifecycle
  • Manage and communicate cloud infrastructure costs and budgets to project stakeholders
  • Stay current with GCP services and MLOps best practices
  • Perform additional assigned tasks
Requirements
  • Experience in MLOps or DevOps practices, including Docker, Kubernetes, CI/CD pipelines, Git-based version control, API development, model serving (batch and real-time), and automated testing frameworks
  • Bachelor’s degree in Data Science, Computer Science, Statistics, Applied Mathematics or equivalent quantitative field
  • Experience deploying, scaling, and operationalizing machine learning models in production environments with Data Scientists
  • 3+ years of experience as a Machine Learning Engineer with a proven track record of successful project delivery
  • In-depth knowledge of cloud platforms, preferably Google Cloud Platform, particularly Vertex AI, BigQuery, and Dataproc
  • Extensive expertise with CI/CD and IaC best practices
  • Extensive knowledge of distributed computing and big data technologies including Spark, Kubeflow, Airflow, and SQL
  • Extensive expertise in Python and machine learning libraries such as TensorFlow, PyTorch, and scikit-learn
  • Experience working in Agile environments with iterative development and continuous delivery
  • Preferred: Master’s Degree
  • Preferred: Proficiency in Java or other languages
  • Preferred: Retail experience
  • Preferred: E-commerce experience
  • Preferred: 5+ years of experience in Machine Learning
  • Preferred: Experience with optimization techniques and tools such as Gurobi, linear programming, and mixed-integer programming
  • Preferred: Experience with agent-based or agentic AI systems, including autonomous workflow or LLM-driven agent orchestration
Core Competencies

Demonstrates expertise in deploying and operationalizing machine learning models using cloud infrastructure, particularly Google Cloud Platform, while supporting cross-functional teams in developing scalable ETL pipelines and MLOps practices. Proficient in building monitoring frameworks and collaborating with Data Scientists to enhance model implementation and best practices.

Highest-signal resume keywords
  • MLOps Practices
  • Google Cloud Platform
  • Machine Learning Model Deployment
  • CI/CD Pipelines
  • Python Programming
ATS Optimization Keywords Hard Skills
  • Machine Learning Engineering
  • ETL Pipeline Development
  • Model Serving
  • Automated Testing Frameworks
  • Distributed Computing
  • Big Data Technologies
  • Cloud Infrastructure Management
  • Data Science Lifecycle
  • Optimization Techniques
  • Agile Development
Soft Skills
  • Collaboration
  • Communication
  • Knowledge Sharing
Certifications & Qualifications
  • Bachelor’s Degree in Data Science
  • Master’s Degree (Preferred)
Industry Keywords
  • Retail Experience
  • E-commerce Experience
  • Agent-Based AI Systems
Tools & Technologies
  • Docker
  • Kubernetes
  • Git
  • TensorFlow
  • PyTorch
  • Scikit-learn
  • Spark
  • Kubeflow
  • Airflow
  • BigQuery
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