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Natural Language Processing Nlp Engineer Jobs (NOW HIRING)

1872 Consulting

NLP Developer

Herndon, VA · On-site

... NLP research into production models. • Provide insight into methods that use NLP to further ... engineer or data scientist with at least 2 years focused on Natural Language Processing • ...

Softility

Sr. Machine Learning Engineer IV

Herndon, VA · On-site

$57.25 - $75.75/hr

Convolutional Neural Networks (CNN) and Natural Language Processing (NLP). * Logistic and Linear ... feature engineering and scalable model deployment. * Design predictive models utilizing Logistic ...

Parsons

Senior Software Developer (NLP)

Aberdeen, MD · On-site

$58.50 - $77.50/hr

The Senior Developer will design and implement logical, functional software code across multiple ... natural language processing (NLP) capabilities in support of operational missions. What You'll Be ...

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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 Developer

Herndon, VA • On-site

1872 Consulting
IT Services • 11 - 50 employees
Learn more about 1872 Consultingexternal

Full-time

Re-posted 25 days ago

Job description

Job Summary:
1872 Consulting is looking for a talented and creative Machine Learning Engineer to support the development and operation of Spectra AI, a cutting-edge AI/Client Platform. The role involves designing and implementing machine learning solutions, particularly in Natural Language Processing, to enhance the effectiveness of Spectra AI and support the automated monitoring mission.
Responsibilities:
• Design and implement machine learning and statistical solutions that can extract geospatial information from natural language.
• Adapt state of the art NLP research into production models.
• Provide insight into methods that use NLP to further enhance the effectiveness of Spectra AI.
• Use Natural Language Processing and related statistical methods to solve customer specific problems.
• Collaborate with software developers to plan and construct the model deployment architecture.
Qualifications:
Required:
• 5+ years of hands-on experience as a machine learning engineer or data scientist with at least 2 years focused on Natural Language Processing
• Bachelor's Degree or higher in one of the following fields: computer science, mathematics, physics, statistics, or another computational field
• Hands on experience working with large data sets including data cleansing/transformation, statistical analyses, and visualization.
• Working knowledge of a wide range of machine learning concepts including statistics, Bayesian probability, supervised and unsupervised learning, descriptive data analysis, and deep learning.
• Experience with NLP techniques such as entity extraction, dependency parsing, coreference resolution, topic modeling, language modeling, text classification, and transformer networks.
• Familiarity with open source python NLP and machine learning libraries such as NumPy, SpaCy, scikit-learn, Pandas, Keras, and Tensorflow.
• Experience performing research collaboratively and independently with a history of implementing algorithms directly from research papers.
• Strong ability to communicate concepts and analytical results with customers, management, and the technical team, highlighting actionable insights.
• US Citizenship Required.
Preferred:
• 8+ years of hands-on experience as a machine learning engineer or data scientist.
• Ph.D./Master's degree in the previously mentioned fields.
• Experience working with remote sensing data, ideally satellite imagery.
• An understanding of Geospatial software (GDAL, osgeo, etc.) and programming standards.
• Exposure to Probabilistic Programming, including open source libraries such as PyMC3, PyMC4, Edward, Stan, and/or TensorFlow Probability
• Experience with Attention based NLP models such as BERT (and BERT derivatives) and GPT-2/3
• Experience developing asynchronous processing algorithms and Cloud-based solutions (especially AWS services like EC2 & S3).
Company:
1872 Consulting is a recruitment and IT consulting company. Founded in 1872, the company is headquartered in Chicago, USA, with a team of 11-50 employees. The company is currently Early Stage.
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About 1872 Consulting

Sourced by ZipRecruiter

1872 Consulting, based in Chicago, IL, USA, operates within the IT consulting industry. Armed with a diverse team of experts, the company offers specialized IT consulting services, focusing on modernizing business technologies and driving innovative business strategies. Established in 1872, the company has a rich history marked by its commitment to bridging the gap between businesses and technology. Its mission is to empower organizations to surpass their business goals by providing state-of-the-art IT solutions and service. The company prides itself on its core values of integrity, excellence, and innovation, instilling these principles in every project they undertake.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Chicago, IL, US

Year founded

2014

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