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Internship Natural Language Processing Jobs in Minnesota

Ztek Consulting INC

Lead Data Engineer

Minneapolis, MN · On-site

... Natural Language Processing, Data Engineering, Time Series Analysis, Linear and Non-linear Modeling, Data Mining, Optimization and Simulation and Data Engineering (Snowflake, Oracle and SQL) 5 years ...

Thomson Reuters

Lead Research Engineer

Eagan, MN · On-site

$104K - $137K/yr

Previous exposure to Natural Language Processing (NLP) problems and have familiarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc. * Hands ...

THOMSON REUTERS

Lead Research Engineer

Eagan, MN · On-site +1

$104K - $137K/yr

Previous exposure to Natural Language Processing (NLP) problems and have familiarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc. * Hands ...

THOMSON REUTERS

Research Engineer

Eagan, MN · Hybrid

Previousexposure to Natural Language Processing (NLP) problems andhavefamiliarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc. * Ability ...

Genesis10

AI/ML Engineer - Remote

Rochester, MN · Remote

$85 - $90/hr

Leverage machine learning techniques such as deep learning, natural language processing, computer vision, and large language models to design, develop and deploy end-to-end AI solutions * Participate ...

Programmers.io

AI Lead

Minneapolis, MN · On-site

... Natural Language Processing (NLP) and deep learning techniques for building AI models. o Experience with large language models (LLMs) such as GPT, BERT, and OpenAI's fine-tuned models. o Knowledge of ...

Thomson Reuters

Research Engineer

Eagan, MN · On-site

Previous exposure to Natural Language Processing (NLP) problems and have familiarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc.

Thomson Reuters

Lead Software Engineer, AI

Eagan, MN · On-site

Strong proficiency in Python and AI/ML frameworks, with deep understanding of natural language processing, prompt engineering techniques, and Information Retrieval systems (RAG) * Engineering ...

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Internship Natural Language Processing information

What are the key skills and qualifications needed to thrive as an Internship Natural Language Processing, and why are they important?

To thrive in a Natural Language Processing (NLP) internship, you generally need a solid background in computer science, mathematics, and linguistics, often supported by coursework or experience in machine learning and programming languages such as Python. Familiarity with NLP frameworks (like NLTK, spaCy, or Hugging Face), version control systems, and tools such as TensorFlow or PyTorch is typically expected. Strong analytical thinking, curiosity, and effective communication help interns stand out when tackling complex language challenges and collaborating with cross-functional teams. These skills are crucial for contributing to innovative NLP projects, understanding nuanced language data, and successfully adapting to evolving technical requirements.

What types of projects can I expect to work on during a Natural Language Processing (NLP) internship?

As an NLP intern, you can expect to work on projects such as building and evaluating language models, developing text classification or sentiment analysis tools, or improving chatbots and search engines. You may also handle tasks like data preprocessing, annotation, and experimenting with state-of-the-art algorithms under the guidance of experienced researchers or engineers. Interns often collaborate closely with cross-functional teams, including data scientists, software engineers, and product managers, to deliver solutions that address real-world language challenges. This hands-on experience not only builds your technical skills but also provides insight into how NLP is applied in an industry setting.

What is an Internship in Natural Language Processing?

An Internship in Natural Language Processing (NLP) is a temporary position, often for students or recent graduates, where you gain hands-on experience working with technologies that enable computers to understand and generate human language. Interns in NLP typically assist with data collection, text analysis, model development, and research projects using machine learning and linguistic techniques. These internships help build foundational skills in programming, data science, and AI, and often require familiarity with languages like Python and libraries such as NLTK or spaCy. Through mentorship and real-world projects, interns learn about the latest advancements in NLP and build a portfolio that prepares them for future roles in AI and computational linguistics.

What is the difference between Internship Natural Language Processing vs Data Analyst Intern?

AspectInternship Natural Language ProcessingData Analyst Intern
Required SkillsProgramming (Python), NLP libraries, basic ML conceptsExcel, SQL, data visualization tools
Work EnvironmentTech companies, research labs, AI startupsBusiness, finance, marketing sectors
Industry UsageAI, machine learning, NLP projectsData analysis, reporting, business insights
Common Search IntentLearning NLP, AI internshipsData analysis internships, business intelligence

Internship Natural Language Processing focuses on developing skills in NLP techniques, machine learning, and programming, often within tech or research environments. In contrast, Data Analyst Internships emphasize data manipulation, visualization, and reporting skills for business insights. Both roles require analytical skills but differ in technical focus and industry application.

What are the most commonly searched types of Natural Language Processing jobs in Minnesota? The most popular types of Natural Language Processing jobs in Minnesota are:
What cities in Minnesota are hiring for Internship Natural Language Processing jobs? Cities in Minnesota with the most Internship Natural Language Processing job openings:
Internship Natural Language Processing jobs near you

Lead Data Engineer

Ztek Consulting INC

Minneapolis, MN • On-site

Contractor

Posted 29 days ago

Job description

This is a hands-on delivery lead role specialized in data engineering
Strong communication skill to work with senior executives
20-25 years of experience in Information Technology services across industries
-8-10 years of experience in designing Application Architecture on Data Platform using Machine Learning, --Deep Learning, Big Data Platforms, Natural Language Processing, Data Engineering, Time Series Analysis, Linear and Non-linear Modeling, Data Mining, Optimization and Simulation and Data Engineering (Snowflake, Oracle and SQL)
5 years of experience in designing data conformation from disparate data sources for data analytics
3 years of experience in Cloud platform (AWS)
Nice to have skills:
Continues from req. skills:
Informatica Intelligent Cloud Services - ETL Processes to handle high volume data for PowerBI
Nice to have skills:
PowerBI hands-on experience