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Natural Language Processing Nlp Engineer Jobs in Massachusetts

Hatch IT

NLP/Linguistics Software Engineer

Somerville, MA · On-site

$125K - $150K/yr

T. is partnering with Babel Street to find an NLP/Linguistics Software Engineer . Please see ... Exposure to computational linguistics or natural language processing (NLP). * Interest in ...

Hatch IT

NLP/Linguistics Software Engineer

Somerville, MA · On-site

$125K - $150K/yr

T. is partnering with Babel Street to find an NLP/Linguistics Software Engineer . Please see ... Exposure to computational linguistics or natural language processing (NLP). * Interest in ...

S&P Global

Machine Learning Engineer II

Cambridge, MA · On-site

$106K - $145K/yr

Bachelor's degree or higher in Computer Science, Engineering, or a related field. * 3+ years of significant, hands-on industry experience with machine learning, natural language processing (NLP), and ...

Winaxis

AI/ML Engineer

Boston, MA · On-site

$32 - $35/hr

Supervised and Unsupervised Learning Deep Learning Neural Networks Natural Language Processing (NLP ... Nice to Have AI Agent Development Multi-Agent Systems Prompt Engineering Fine-tuning LLMs Knowledge ...

Winaxis

AI/ML Engineer

Boston, MA · On-site

$124K - $149K/yr

Supervised and Unsupervised Learning Deep Learning Neural Networks Natural Language Processing (NLP ... Nice to Have AI Agent Development Multi-Agent Systems Prompt Engineering Fine-tuning LLMs Knowledge ...

Winaxis

AI/ML Engineer

Boston, MA · On-site

$30 - $35/hr

Supervised and Unsupervised Learning Deep Learning Neural Networks Natural Language Processing (NLP ... Nice to Have AI Agent Development Multi-Agent Systems Prompt Engineering Fine-tuning LLMs Knowledge ...

Winaxis

AI/ML Engineer

Boston, MA · On-site

$35 - $45/hr

Natural Language Processing (NLP) * Computer Vision * Reinforcement Learning (preferred ... Prompt Engineering * Fine-tuning LLMs * Knowledge Graphs * MLOps Certification * Cloud ...

Winaxis

AI/ML Engineer

Boston, MA · On-site

$124K - $149K/yr

Supervised and Unsupervised Learning Deep Learning Neural Networks Natural Language Processing (NLP ... Nice to Have AI Agent Development Multi-Agent Systems Prompt Engineering Fine-tuning LLMs Knowledge ...

HCL International

Senior Software Engineer

Boston, MA · On-site

$133K - $175K/yr

Collaborate with data scientists and ML engineers to integrate state-of-the-art generative AI ... Knowledge of natural language processing (NLP), computer vision, or multimodal models * Experience ...

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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.

Senior Full Stack Software Engineer - (On Site Role)

Wellesley, MA

Careers | 4G Clinical
See more jobs at Careers | 4G Clinicalexternal

Full-time

Re-posted 23 days ago

Job description

4G Clinical is a global leader in randomization and trial supply management (RTSM) and supply forecasting optimization software for the life sciences industry, offering the only fully cloud-based, 100% configurable and flexible solutions utilizing natural language processing (NLP) to accelerate clinical trials. 4G Clinical is headquartered in the Boston Biotech corridor of Wellesley, MA, with offices in Europe and Asia.

We are seeking a Software Engineer with experience applying mathematical and statistical modeling techniques to solve complex business and technical problems.

Responsibilities

The Software Engineer is responsible for the following:

  • Participate on a decentralized, agile-based software development team.
  • Write reusable, testable, and efficient code, unit-test and document implemented features
  • Design and implementation of low-latency, high-availability, and performant applications
  • Implementation of server-side models and algorithms, with emphasis on complex statistical computations
  • Implementation of web service APIs (REST)
  • Implementation of client-side logic, including UX design, HTML layouts and templates, AngularJS logic, and styling
  • Implementation of security and data protection
  • Integration of data storage solutions

Apply