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Data Curation Ai Machine Learning Jobs in Nebraska

GE HealthCare

AI Engineer

Bellevue, NE · On-site

$108K - $130K/yr

Summary The AI Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and collaborative Are you passionate about applying ...

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 ...

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 ...

Pae

AI Modeling Specialist (Senior)

Omaha, NE

Amentum is seeking an AI Modeling Specialist (Senior) to support Combatant Command Operations in ... Bachelor's degree in data science, computer science, artificial intelligence, machine learning ...

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 ...

Varsity Tutors

Machine Learning Tutor

Omaha, NE · Remote

$18 - $40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Lincoln, NE · Remote

$18 - $40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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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, and why are they important?

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 Nebraska? For Data Curation Ai Machine Learning jobs in Nebraska, the most frequently searched job titles are:
What job categories do people searching Data Curation Ai Machine Learning jobs in Nebraska look for? The top searched job categories for Data Curation Ai Machine Learning jobs in Nebraska are:
What cities in Nebraska are hiring for Data Curation Ai Machine Learning jobs? Cities in Nebraska with the most Data Curation Ai Machine Learning job openings:
Data Curation Ai Machine Learning jobs near you
AI Engineer

AI Engineer

GE HealthCare

Bellevue, NE • On-site

$108K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

GE HealthCare rating

8.4

Company rating: 8.4 out of 10

Based on 137 frontline employees who took The Breakroom Quiz

98th of 486 rated machine equipment manufacturers

Job description

Job Description Summary
The AI Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and collaborative Are you passionate about applying Generative AI to transform healthcare? GE HealthCare is seeking a Senior Staff AI Engineer to design, build, deploy, and optimize production-grade AI solutions that power next-generation clinical applications. In this role, you will develop scalable AI systems using large language models (LLMs), foundation models, and modern machine learning technologies to automate clinical workflows while ensuring reliability, performance, and responsible AI deployment.
Job Description
About the Role
At GE HealthCare, we are bringing AI- and cloud-based technologies to healthcare by delivering advanced analytics, visualization, multimodal learning, intelligent software, and scalable computing solutions across cloud and edge environments. Our Science & Technology organization develops AI capabilities that improve clinical workflows, enhance provider productivity, and help make healthcare more personalized, precise, and accessible.
What You Will Do
  • Design, develop, and deploy production-ready AI solutions using Large Language Models (LLMs), foundation models, and modern machine learning techniques to automate clinical workflows.
  • Build scalable AI applications leveraging electronic medical records (EMRs), medical waveforms, clinical reports, and other healthcare datasets.
  • Develop robust inference pipelines, model serving infrastructure, and AI services optimized for reliability, scalability, latency, and cost.
  • Optimize foundation models through prompt engineering, fine-tuning, distillation, quantization, and inference optimization techniques.
  • Implement responsible AI practices, including model evaluation, robustness testing, monitoring, and human-in-the-loop feedback mechanisms.
  • Collaborate with research scientists and cross-functional engineering teams to transition advanced AI models into production environments.
  • Build reusable software components, APIs, and development frameworks that enable scalable AI application development.
  • Stay current with emerging AI technologies, open-source frameworks, and industry best practices to continuously improve GE HealthCare's AI platform.
Required Qualifications
Education
  • Master's degree in Science, Technology, Engineering, Mathematics (STEM), Computer Science, Artificial Intelligence, or a related technical field with 3+ years of relevant experience, or
  • PhD in a STEM discipline with relevant experience developing production AI systems.
AI & Machine Learning
  • Demonstrated experience building and deploying large-scale Generative AI or foundation model solutions.
  • Experience developing applications using Large Language Models (LLMs), Agentic AI, or self-supervised learning techniques.
  • Strong understanding of modern machine learning techniques including transfer learning, generative models, optimization, and model evaluation.
Software Engineering
  • Strong programming skills in Python and C++.
  • Experience developing scalable, maintainable, production-quality software.
  • Experience designing APIs, distributed services, or cloud-native AI applications.
AI Infrastructure
  • Experience with modern AI frameworks such as PyTorch, Hugging Face, DeepSpeed, Megatron, or PyTorch Lightning.
  • Experience deploying AI workloads using MLOps, ModelOps, or Foundation Model Operations (FMOps) practices.
  • Experience working with large-scale model training or inference infrastructure.
Healthcare Data
  • Experience working with high-dimensional medical imaging, waveform, or time-series clinical datasets.
Preferred Qualifications
  • Experience solving complex engineering problems with ambiguous requirements.
  • Experience deploying large-scale distributed AI systems.
  • Experience with Spark, Hadoop, TensorFlow, or PyTorch in enterprise environments.
  • Experience building production data platforms and AI-powered software applications.
  • Track record of delivering machine learning solutions using large real-world healthcare datasets.
  • Experience optimizing large-scale AI training and inference performance.
Why Join GE HealthCare
Join a global AI engineering organization building production AI systems that improve patient care at scale. You'll work with world-class engineers and scientists across the United States, France, Israel, and India to bring cutting-edge Generative AI capabilities into healthcare products that make a meaningful difference for clinicians and patients worldwide.
Work Environment
Global Collaboration
Our AI teams are located across Bellevue, San Ramon, France, Israel (Tel Aviv), and India (Bangalore), providing opportunities to collaborate across a diverse, global engineering organization.
Work-Life Balance
We value flexibility and recognize that maintaining a healthy work-life balance enables our teams to perform at their best. Our flexible work environment supports both professional success and personal well-being.
Career Growth
You'll collaborate with experienced engineers, researchers, and technical leaders while benefiting from mentorship opportunities across GE HealthCare's global engineering organization.
We will not sponsor individuals for employment visas, now or in the future, for this job opening.For U.S. based positions only, the pay range for this position is $160,080.00-$240,120.00 Annual. It is not typical for an individual to be hired at or near the top of the pay range and compensation decisions are dependent on the facts and circumstances of each case. The specific compensation offered to a candidate may be influenced by a variety of factors including skills, qualifications, experience and location. In addition, this position may also be eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). GE HealthCare offers a competitive benefits package, including not but limited to medical, dental, vision, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, and tuition reimbursement.
GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees.
Relocation Assistance Provided: Yes

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