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Data Curation Ai Machine Learning Jobs in Wisconsin

Devitechs

WI · On-site

$90 - $130/hr

Work extensively on data preprocessing, feature engineering, and model optimization to enhance ... Integrate machine learning models into production environments and ensure smooth deployment ...

TSMG

AI/ML Data Contributor

Milwaukee, WI

In this role, you will participate in tasks that help improve machine learning models, including ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...

TSMG

AI/ML Data Contributor

Milwaukee, WI

In this role, you will participate in tasks that help improve machine learning models, including ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...

TSMG

AI/ML Data Contributor

Milwaukee, WI

In this role, you will participate in tasks that help improve machine learning models, including ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...

TSMG

AI/ML Data Contributor

Milwaukee, WI

In this role, you will participate in tasks that help improve machine learning models, including ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...

TSMG

AI/ML Data Contributor

Milwaukee, WI

In this role, you will participate in tasks that help improve machine learning models, including ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...

TSMG

AI/ML Data Contributor

Milwaukee, WI · On-site

In this role, you will participate in tasks that help improve machine learning models, including ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...

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Data Curation Ai Machine Learning information

What are the key skills and qualifications needed to thrive as a data curation AI machine learning specialist?

To thrive as a Data Curation AI Machine Learning Specialist, you need strong data management skills, a background in computer science or data science, and experience with machine learning principles. Familiarity with programming languages like Python or R, data labeling tools, and database systems, as well as certifications in machine learning or data engineering, are typically required. Attention to detail, critical thinking, and effective communication stand out as essential soft skills for managing complex datasets and collaborating with cross-functional teams. These skills ensure high-quality, well-organized data that drives accurate machine learning models and reliable AI outcomes.

What is a data curation AI machine learning specialist?

A Data Curation AI/Machine Learning specialist is a professional who manages, organizes, and prepares large datasets to be used in artificial intelligence and machine learning projects. They ensure that data is accurate, relevant, and accessible, often cleaning and labeling data so it can be effectively used to train machine learning models. Their role bridges the gap between raw data sources and the teams building AI solutions, enabling more reliable and efficient model development. They may also work with data governance, privacy, and compliance issues to ensure data quality and security.

What are some common challenges faced by data curation professionals working in AI and machine learning projects?

One of the key challenges data curation specialists encounter in AI and machine learning is ensuring the quality and consistency of large, diverse datasets. This often involves dealing with missing, incomplete, or biased data, which can impact model performance. Additionally, data curators must navigate evolving data privacy regulations and work closely with data scientists, engineers, and domain experts to align data preparation with project goals. Effective communication and a meticulous approach are crucial for maintaining data integrity and supporting robust machine learning outcomes.

What is the difference between Data Curation Ai Machine Learning vs Data Analyst?

AspectData Curation Ai Machine LearningData Analyst
Primary FocusPreparing and managing data for AI and ML modelsAnalyzing data to generate business insights
Skills RequiredData management, programming, understanding of AI/ML algorithmsStatistical analysis, data visualization, Excel, SQL
Tools UsedPython, R, SQL, data cleaning toolsExcel, Tableau, SQL, statistical software
Work EnvironmentData science teams, AI/ML projects, tech companiesBusiness departments, analytics teams, consulting firms

While Data Curation Ai Machine Learning specialists focus on preparing data for AI and machine learning models, Data Analysts interpret data to support business decisions. Both roles require strong data skills but differ in their primary objectives and tools used.

What are popular job titles related to Data Curation Ai Machine Learning jobs in Wisconsin?

For Data Curation Ai Machine Learning jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Data Curation Ai Machine Learning jobs in Wisconsin look for?

The top searched job categories for Data Curation Ai Machine Learning jobs in Wisconsin are:

What cities in Wisconsin are hiring for Data Curation Ai Machine Learning jobs?

Cities in Wisconsin with the most Data Curation Ai Machine Learning job openings:

Data Curation Ai Machine Learning jobs near you

AI & Machine Learning Engineer

Schneider National, Inc.

Green Bay, WI • On-site

$90 - $150/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago

Schneider National rating

7.7

Company rating: 7.7 out of 10

Based on 102 frontline employees who took The Breakroom Quiz

107th of 364 rated logistics

Job description

Welcome to Schneider! Thank you for your interest in a career with us. | My Account Options

Job Description - AI & Machine Learning Engineer (262212)

Job Description

AI & Machine Learning Engineer -

Job Number:262212 - Full-time Mon-Fri 1st Shift

Job overview:

Schneider is seeking an AI & Machine Learning Engineer in Green Bay to design and develop applications which enable AI-driven solutions to solve business problems. The AI & Machine Learning Engineer will work closely with senior engineers and data scientists to develop and maintain software solutions for data science initiatives.

Responsibilities:

  • Deploy and monitor machine learning models and algorithms in production both on-premises and in cloud environments.
  • Develop and optimize data processing and feature engineering pipelines.
  • Build APIs and microservices that support machine learning models.
  • Implement model performance monitoring and drift detection.
  • Write high-quality, efficient and well-documented code.
  • Conduct code reviews and mentor junior engineers on best practices for software development.
  • Perform data analysis and generate insightful reports to support business decisions.

Skills and qualifications:

  • Bachelor's degree in computer science, software engineering, data science, engineering, information systems or a related field.
  • A minimum of 2 years of experience in software engineering, data science or a related field in IT.
  • Proficient in programming languages such as Python, Java or C++.
  • Knowledge of data science libraries and frameworks like Pandas, NumPy and Scikit-learn.
  • Understanding of machine learning concepts, algorithms, model evaluation metrics and feature engineering.
  • Experience with SQL, database management and application development in a Linux server environment
  • Proficiency with version control systems (e.g., Git).
  • Familiarity with cloud platforms (e.g., Azure, AWS, Google Cloud) and big data technologies.
  • Familiarity with container platforms (e.g., Docker, Kubernetes), streaming platforms (e.g., Apache Kafka), ML Ops tools (e.g., MLFlow,) and CI/CD concepts.

Pay and benefits:

  • Medical, dental and vision insurance.
  • 401(k) savings plan with company match.
  • Paid time off and paid holidays.
  • Results-based incentive pay program where you can earn above and beyond your base pay.

Our history has taught us that treating everyone with dignity and respect is vital to our ongoing success. We embrace and seek out diversity that is inclusive of thought, race, ethnicity, national origin, sex, gender, gender expression, age, religion, sexual orientation, ability, medical condition, veteran or military status, experience and background. This diversity and openness ensures all associates have equal access to opportunities and resources to contribute fully to the organization's success, and it fuels innovation, improves strategic thinking and cultivates leadership. Any applicant may request a reasonable accommodation to complete a job application, pre-employment testing, or job interview or to otherwise participate in the hiring process consistent with the Americans with Disabilities Act (ADA) by contacting their Recruiter, Human Resources Business Partner, and/or Human Resources Leave Administration.

JobJob: ITPrimary LocationPrimary Location: USA-WISCONSIN-Green Bay

Building Location Address : 3101 S Packerland Dr , Green Bay, WI, 54313

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