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Internship Natural Language Processing Intern Jobs in Texas

NLP (Natural Language Processing) * Large Language Models (LLMs) * Generative AI * Apache Spark or Databricks * MLOps (MLflow, Kubeflow) * Docker and Kubernetes * Big Data technologies (Hadoop, Hive)

We are seeking a Senior AI/ML/Data Scientist / Applied AI Leader with deep expertise in Agentic AI, Large Language Models (LLMs), and Natural Language Processing (NLP) to solve high impact business ...

Natural language processing (NLP) * Free-text analytics * Machine learning (ML) algorithms * Predictive modeling and analysis * Data visualization software (Tableau preferred) * Familiarity with AWS ...

Explore and implement state-of-the-art AI techniques, including deep learning, natural language processing, and computer vision, tailored to specific needs * Evaluate and compare different AI model ...

Software Developer

Lubbock, TX · On-site

$70K - $90K/yr

The lab will be equipped with capabilities in text analytics/Natural Language Processing, social media analytics, Big Data advanced analytics and Machine Learning. Role You will be responsible for ...

Interested in Text analytics, Natural Language processing, Classification and Clustering * Significant experience creating clean, insightful dashboards for executives and non-technical audiences ...

Intern, Engineering 2027

Kenedy, TX · On-site

$16.50 - $21.50/hr

... and natural gas. With operations and activities in 13 countries, we explore for, develop, and ... Interns are typically matched to one of the Upstream fields including Reservoir, Production ...

Showing results 41-60

Internship Natural Language Processing Intern information

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

AspectInternship Natural Language Processing InternData Science Intern
Required CredentialsRelevant coursework in NLP, computer science, or linguistics; basic programming skillsBackground in statistics, mathematics, or computer science; programming skills
Work EnvironmentResearch-focused, often in AI or NLP teams within tech companies or research labsData analysis, modeling, and visualization tasks in tech, finance, or consulting firms
Employer & Industry UsageCommon in AI startups, tech giants, and research institutionsWidely used across tech, finance, healthcare, and consulting industries

Both roles are internship positions requiring programming skills and relevant coursework. NLP Interns focus specifically on language processing tasks, while Data Science Interns work on broader data analysis and modeling projects. The choice depends on your interest in language technologies versus general data analysis.

What cities in Texas are hiring for Internship Natural Language Processing Intern jobs? Cities in Texas with the most Internship Natural Language Processing Intern job openings:

Data Scientist/Big Data Architect

Apex Informatics

Irving, TX • On-site

Contractor

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Job Title- Data Scientist/Big Data Architect
Location- Irving Texas 75062 (Hybrid), (3 days onsite/2 WFH)
Duration- 09 Months Contract
Job Description:
Required Qualifications:
• 5+ years of Technology Infrastructure Engineering and Solutions experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 5+ years of experience troubleshooting environments across the entire architecture (i.e. applications to infrastructure)
• 4+ years of Linux experience
• 2+ years of experience with Artificial Intelligence, Business Intelligence or Machine Learning
• Knowledge and understanding of Machine Learning, Deep Learning, Linear Regression, Models (Tensor Flow), Business Intelligence and Analytics
• Experience in Artificial Intelligence, Natural Language Processing, Machine Learning, Distributed Computing, Chatbot, and Virtual Assistant
• Experience with Big Data or Hadoop tools such as Spark, Hive, Kafka and MapR
• Ability to lead projects/initiatives with high risk and complexity