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Data Curation Ai Machine Learning Jobs in Wisconsin

WI ยท On-site

$81 - $127/hr

... AI platform. As an Applied Machine Learning Engineer, you will analyze vibration, temperature, pressure, and operational data using both time-domain and frequency-domain techniques. By leveraging ...

New

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Contribute to the refinement of data curation methodologies and best practices in computational ...

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Contribute to the refinement of data curation methodologies and best practices in computational ...

WI ยท On-site

$90 - $150/hr

* Develop and deploy analytics, machine learning, natural language processing, and AI solutions ... Perform data acquisition, ETL, exploratory data analysis, data preparation, feature engineering ...

New

AI Engineer

Milwaukee, WI ยท On-site

$50K - $112K/yr

Responsibilities - Designing and implementing AI systems to transform raw data into actionable insights - Developing scalable machine learning models using Python and TensorFlow - Integrating data ...

Showing results 41-60

Data Curation Ai Machine Learning information

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 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 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:

Applied Machine Learning Engineer - IoT

Atlas Copco Airpower N.V.

WI โ€ข On-site

$81 - $127/hr

Other

Medical, Retirement, PTO

Posted yesterday

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Job description

Information Technology Atlas Copco Group Belgium Antwerp

Do you want to apply machine learning and signal processing to real industrial equipment operating worldwide? Join our Applied Machine Intelligence & IoT team and help transform data from more than 250,000 connected compressors into smart-maintenance and optimization solutions that create measurable customer value.

Is your ideal day one where you combine signal processing, machine learning, and a genuine curiosity about mechanical systems to build models that make real machines run better? Then you might be the perfect fit for our Applied Machine Intelligence & IoT team. As an Applied Machine Learning Engineer in the Applied Machine Intelligence team (part of the Aftermarket R&D organization), you will turn sensor and machine data from our connected products into optimization and smart-maintenance models that deliver measurable value to our customers. You'll work across our global connectivity ecosystem and help bring proven optimization and uptime algorithms into our SMARTLINK AI platform.

As an Applied Machine Learning Engineer, you will analyze vibration, temperature, pressure, and operational data using both time-domain and frequency-domain techniques. By leveraging machine learning methodologies such as anomaly detection, predictive maintenance, classification, clustering, and forecasting, you will extract valuable insights from equipment data and translate them into actionable improvements.

You will be responsible for developing and enhancing models focused on energy efficiency, performance optimization, and smart maintenance for our connected product portfolio. In addition, you will integrate, validate, and deploy optimization algorithms within the Smart Events engine and the broader connectivity platform, ensuring that insights are effectively translated into customer value.

Working across the entire connectivity ecosystem, you will take an end-to-end approach, spanning from physical equipment and controllers to the generation of insights and the delivery of tangible business value to customers. You will also collaborate closely with colleagues from engineering, marketing, and operations to shape product roadmaps and deliver comprehensive solutions that address customer and business needs.

To succeed, you will need

At Atlas Copco Group, our approach for many positions is โ€œhire for attitude and train for skill.โ€ We support people through learning, coaching and on-the-job training.

  • You hold a master's degree in engineering (Electronics, Computer Science, or equivalent)
  • Youโ€™re skilled in Python, PySpark, Databricks, Pandas, Scikit-learn, MLflow
  • You have handsโ€‘on experience with, or a strong interest in, signal processing and machine learning applied to sensor data
  • You have a strong interest in mechanical systems (compressors, dryers, chillers or similar) and are eager to dive deeper into the domain
  • You enjoy working in diverse, international teams and are comfortable collaborating across functions
  • You are a problemโ€‘solver with a passion for innovation and a drive to continuously improve
In return, we offer

At Atlas Copco Group you will join an international and diverse environment with specialists from different disciplines. Our culture is rooted in Swedish values, which includes a family feeling, respect and diversity. We invest in our employees' development and well-being, and we provide a flexible work-life balance. With our inclusive and caring environment, you get the support and inspiration you need to grow. Here, your ideas are embraced, and you never stop learning.

You will have a comprehensive onboarding program, including guidance by a personal godmother/godfather. You will also have access to global job opportunities, as part of the Atlas Copco Group. We offer an interesting compensation and benefits package, including health insurance, paid leave and retirement benefits.

Job location

This role offers a hybrid working arrangement, allowing you to split your time between working remotely and being on-site at Airpower in Antwerp, Belgium (BE).

Atlas Copco Group enables technology that transforms the future. We innovate to develop products, services and solutions that are key to our customers' success. Our four business areas offer technologies for air and gas compression, vacuum and abatement, automated assembly and quality control, mobile energy management and power generation as well as portable and industrial flow technologies.In 2024, Atlas Copco Group had revenues of BSEK 177 and at year end about 55 000 employees.

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