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Natural Language Processing Nlp Engineer Jobs (NOW HIRING)

Capture2, Inc.

NLP Data Lead

San Diego, CA · On-site

Role Objective Capture2 is looking for an experienced Natural Language Processing (NLP) Data Lead to join our engineering team, and to act as a leader for the information processing and extraction ...

BTI360 Inc

NLP Engineer with Security Clearance

Herndon, VA · On-site

$117K - $141K/yr

NLP ENGINEER About the Team Here at BTI360, we've built a culture that's passionate about ... natural language processing (NLP) techniques • Experience building Knowledge Graphs using ...

Hp

AI Solution Engineer

Vancouver, WA · On-site

$130K - $205K/yr

AI Solution Engineer Description - We are seeking an innovative and results-driven AI Solution ... Experience with Natural Language Processing (NLP) and machine learning technologies. * Experience ...

Hewlett Packard Enterprise

$130K - $205K/yr

AI Solution Engineer Description - We are seeking an innovative and results-driven AI Solution ... Experience with Natural Language Processing (NLP) and machine learning technologies. * Experience ...

Saviance

AI/NLP Engineer

... Engineer to join their team ... The role involves designing and developing NLP applications, transforming natural language data ...

Cypress HCM

LLM Research Engineer

Mountain View, CA · On-site

$90 - $121.86/hr

Conduct research on cutting-edge techniques in natural language processing (NLP) and machine ... Strong programming skills. * Proficiency with deep learning frameworks such as TensorFlow, PyTorch ...

BTI360

NLP Engineer - Clearance Required

Herndon, VA · On-site

They are seeking an NLP Engineer to transform raw data into meaningful insights, working closely ... natural language processing (NLP) techniques • Experience building Knowledge Graphs using ...

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Natural Language Processing Nlp Engineer information

What is a natural language processing NLP engineer?

Natural Language Processing (NLP) Engineers are specialists who design, build, and implement systems that allow computers to understand, interpret, and generate human language. They combine expertise in linguistics, machine learning, and computer science to work on tasks such as text analysis, speech recognition, language translation, and chatbot development. NLP Engineers often use techniques like tokenization, sentiment analysis, and named entity recognition to solve real-world language problems. Their work is crucial in making technology more accessible and user-friendly through natural, human-like interactions.

What are some common challenges faced by NLP engineers when working with real-world datasets?

NLP Engineers often encounter challenges with real-world datasets, such as handling noisy, unstructured, or imbalanced data. Text data can include misspellings, slang, multiple languages, and inconsistencies that require robust preprocessing techniques. Additionally, ensuring that models generalize well across diverse user inputs and comply with privacy regulations can be complex. Collaborating with data scientists, domain experts, and software engineers is crucial to address these challenges effectively and deliver reliable NLP solutions.

What are the key skills and qualifications needed to thrive as a natural language processing NLP engineer, and why are they important?

To thrive as a Natural Language Processing (NLP) Engineer, you need a strong background in computer science, linguistics, statistics, and proficiency in programming languages like Python, along with a degree in a related field. Familiarity with NLP libraries (such as NLTK, spaCy, or Hugging Face), machine learning frameworks (like TensorFlow or PyTorch), and experience with cloud platforms are typically required. Strong problem-solving abilities, attention to detail, and effective communication help NLP Engineers collaborate and translate complex technical concepts into practical solutions. These skills and qualities are crucial for developing robust NLP models that deliver accurate, scalable, and user-friendly language-based applications.

What states have the most Natural Language Processing Nlp Engineer jobs?

States with the most job openings for Natural Language Processing Nlp Engineer jobs include:

What are popular job titles related to Natural Language Processing Nlp Engineer jobs?

For Natural Language Processing Nlp Engineer jobs, the most frequently searched job titles are:

NLP Data Lead

San Diego, CA • On-site

Capture2, Inc.
11 - 50 employees
Learn more about Capture2, Inc.external

Full-time

Re-posted 26 days ago

Job description

Role Objective

Capture2 is looking for an experienced Natural Language Processing (NLP) Data Lead to join our engineering team, and to act as a leader for the information processing and extraction efforts within our organization. We are seeking an application engineer with experience extracting key information from unstructured text, and to work closely with the broader Capture2 engineering team to help revolutionize our data analysis efforts. An individual with a background in NLP technologies will be integral to guiding the training and testing of models for entity recognition, extraction, and normalization of information across a wide range of text and content sources.

This role is technical in nature, and requires both implementation experience writing code and developing models, as well as acting as a leader and mentor for the NLP efforts within the Capture2 team.


Responsibilities

- Analyze text inputs to support information extraction and data classification efforts

- Develop software to process, evaluate, classify, and summarize text in a variety of forms

- Produce models to support entity identification and extraction across a large corpus of text and unstructured content

- Support the development of new requirements, strategies, and concepts to expand the Natural Language Processing (NLP) efforts

- Work with the development team to continually improve the quality and scope of the solution models

- Participate in concept development and strategy sessions to develop new and innovative solutions

Required Knowledge, Skills, & Experience

- Hands-on experience (3+ years) in a variety of NLP technologies, techniques, and concepts

- Expertise in data processing and transformation, with a demonstrated capability of turning unstructured text into useful information

- Demonstrated development experience (Java, Python, etc.) in developing and maintaining NLP software solutions

- Experience in standard NLP activities and techniques, such as sentence/word tokenization, stemming, named entity recognition (NER), part of speech (POS) tagging, and other parsing activities.

Capture2 is where government business starts. The Capture2Proposal solution helps our customers consistently identify, pursue, and win government contracts and sourcing agreements. We believe our nation needs an efficient government, and that the government needs the capabilities of commercial entities of all sizes. Capture2's goal is to open access to government contracts to businesses of all sizes.

We have positions open in San Diego.

Ensuring a diverse and inclusive workplace where we learn from each other is core to our values. We welcome people of different backgrounds, experiences, abilities and perspectives. We are an equal opportunity employer and a fun place to work. Come make a difference with Capture2.

Apply