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Neuroscience Ai Machine Learning Jobs in Nebraska

Varsity Tutors

Machine Learning Tutor

Lincoln, NE · Remote

$18 - $40/hr

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Varsity Tutors

Machine Learning Tutor

Omaha, NE · Remote

$18 - $40/hr

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

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 ...

Pae

AI Modeling Specialist (Senior)

Omaha, NE · On-site

Amentum is seeking an AI Modeling Specialist (Senior) to support Combatant Command Operations in ... Design, develop, and deploy machine learning, artificial intelligence, and advanced statistical ...

Warnerbros

Senior Machine Learning Engineer

Bellevue, NE · On-site

$99K - $135K/yr

Within the Data & Audience Platform (DAP) organization, our Machine Learning Engineering team builds the foundational AI/ML intelligence that powers identity, audience, advertising, and ...

penlink

AI Engineer

Lincoln, NE · On-site

Research, fine-tune, and deploy machine learning and large language models to support business and product initiatives * Integrate AI models into existing applications and backend systems through ...

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Neuroscience Ai Machine Learning information

What is a Neuroscience AI Machine Learning specialist?

A Neuroscience AI Machine Learning specialist is a professional who applies artificial intelligence and machine learning techniques to analyze and interpret data related to the brain and nervous system. They work at the intersection of neuroscience, computer science, and data science to develop models that can help understand brain function, diagnose neurological disorders, or advance brain-computer interface technologies. Their work often involves processing complex datasets such as brain imaging or neural recordings, and building predictive models that contribute to both scientific discovery and healthcare innovation.

What are the key skills and qualifications needed to thrive as a Neuroscience AI Machine Learning specialist?

To thrive as a Neuroscience AI Machine Learning Specialist, you need a strong background in neuroscience, machine learning, and data analysis, often supported by an advanced degree in a related field (e.g., neuroscience, computer science, or bioinformatics). Expertise in programming languages like Python or MATLAB, familiarity with deep learning frameworks (such as TensorFlow or PyTorch), and experience with neuroimaging tools are typically required. Strong problem-solving abilities, curiosity, and effective interdisciplinary communication are valuable soft skills. These competencies are essential for innovatively analyzing complex neural data and developing AI-driven solutions that advance neuroscience research.

What are common challenges faced by professionals working in Neuroscience AI and Machine Learning, and how can they be addressed?

Professionals in Neuroscience AI and Machine Learning often encounter challenges such as integrating complex neural data with AI models, handling large and noisy datasets, and ensuring their algorithms are interpretable and clinically relevant. Collaborating closely with neuroscientists, clinicians, and data engineers is essential to address these hurdles. Staying updated on the latest research, leveraging robust data preprocessing techniques, and participating in interdisciplinary team meetings can help overcome these challenges and contribute to innovative solutions in the field.

What is the difference between Neuroscience Ai Machine Learning vs Data Scientist?

AspectNeuroscience Ai Machine LearningData Scientist
Required CredentialsBackground in neuroscience, AI, machine learning, programming skillsDegree in data science, statistics, computer science, or related fields
Work EnvironmentResearch labs, healthcare, biotech, academiaTech companies, finance, marketing, healthcare
Industry UsageNeuroscience research, AI development for brain-related applicationsData analysis, predictive modeling, business insights across industries

Neuroscience Ai Machine Learning focuses on applying AI and machine learning techniques specifically to neuroscience research and brain-related applications, often requiring specialized knowledge in neuroscience. Data Scientists have a broader scope, working with data analysis and modeling across various industries. While both roles involve machine learning skills, their focus areas and work environments differ significantly.

What are popular job titles related to Neuroscience Ai Machine Learning jobs in Nebraska?

For Neuroscience Ai Machine Learning jobs in Nebraska, the most frequently searched job titles are:

What job categories do people searching Neuroscience Ai Machine Learning jobs in Nebraska look for?

The top searched job categories for Neuroscience Ai Machine Learning jobs in Nebraska are:

What cities in Nebraska are hiring for Neuroscience Ai Machine Learning jobs?

Cities in Nebraska with the most Neuroscience Ai Machine Learning job openings:

Neuroscience Ai Machine Learning jobs near you

Business Analyst - AI/Generative AI

Omaha, NE • On-site

Cliff Services Inc
See more jobs at Cliff Services Incexternal

Other

Re-posted 9 days ago

Job description

Position: Business Analyst AI/Generative AI
Location: Frisco & Omaha
Duration: 12+ Months
Interview Mode: Virtual

Job Description

Fiserv is seeking a highly motivated Business Analyst with AI/Generative AI experience to bridge the gap between business stakeholders and technical teams. The ideal candidate will have strong business analysis skills combined with exposure to AI, Machine Learning, and Generative AI initiatives within the Banking or Financial Services domain. The candidate will work closely with product owners, data scientists, and engineering teams to gather requirements, define AI use cases, and support the successful implementation of AI-driven business solutions.

Key Responsibilities

  • Gather, analyze, and document business and functional requirements for AI/ML and Generative AI initiatives.
  • Collaborate with business stakeholders, product managers, data scientists, and development teams to define AI use cases.
  • Translate business requirements into functional specifications, user stories, acceptance criteria, and process flows.
  • Analyze current business processes and identify opportunities for AI-driven automation and optimization.
  • Support AI solution design, implementation, testing, and production rollout.
  • Facilitate Agile ceremonies including backlog grooming, sprint planning, and user acceptance testing (UAT).
  • Work with data engineering teams to define data requirements, data lineage, and business rules.
  • Create BRDs, FRDs, process flow diagrams, workflow documentation, and presentation materials.
  • Monitor project progress and ensure alignment between business objectives and technical delivery.
  • Support change management, user training, and knowledge transfer activities.

Required Skills

  • 7+ years of experience as a Business Analyst.
  • 2+ years of experience working on AI, Machine Learning, or Generative AI projects.
  • Strong understanding of AI concepts including LLMs, Prompt Engineering, RAG, AI Agents, NLP, and Vector Databases.
  • Experience gathering requirements for AI-enabled applications.
  • Strong experience with Agile/Scrum methodology.
  • Excellent knowledge of SQL for data analysis.
  • Experience with Jira, Confluence, Visio, and Microsoft Office Suite.
  • Strong communication, stakeholder management, and documentation skills.
  • Experience creating BRDs, FRDs, User Stories, Use Cases, Process Flows, and UAT documentation.

Preferred Skills

  • Banking or Financial Services domain experience (Fiserv, Banking, Payments, Cards, Digital Banking).
  • Knowledge of OpenAI, Azure OpenAI, Google Gemini, Claude, or similar LLM platforms.
  • Experience with LangChain, LangGraph, LlamaIndex, or AI orchestration frameworks.
  • Familiarity with Snowflake, Databricks, AWS, Azure, or Google Cloud Platform.
  • Experience working with APIs and system integrations.
  • Knowledge of data governance, compliance, and AI security best practices.

Nice to Have

  • Exposure to Payment Processing, Merchant Services, Digital Banking, or Core Banking platforms.
  • Understanding of Responsible AI and AI governance.
  • Experience supporting AI chatbot or intelligent automation implementations.

Primary Skills

  • Business Analysis
  • Artificial Intelligence (AI)
  • Generative AI
  • LLMs (OpenAI/Azure OpenAI/Gemini/Claude)
  • Prompt Engineering
  • RAG (Retrieval-Augmented Generation)
  • SQL
  • Agile/Scrum
  • Jira & Confluence
  • Banking / Payments / Financial Services

Apply