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Amazon Nlp Jobs in Washington (NOW HIRING)

JS Consulting

Data Scientist

Washington, DC · On-site

Proficient with Amazon AWS Sagemaker, Jupyter Notebook and Python Scikit, Deep Learning, Machine ... Proficient in Natural language processing (NLP) and Natural language generation (NLG) including ...

Probity Inc.

KD Applications Developer

Herndon, VA · On-site

The ideal candidate brings deep expertise in Natural Language Processing (NLP), large-scale data ... Amazon Web Services cloud environment. Willing to consider substituting C2S if candidate has a ...

IBM

Research Scientist - TS/SCI (FSP)

Bethesda, MD · On-site

... and Amazon Code Whisperer. • Develop Cognitive Solutions: Create comprehensive cognitive ... Utilize expertise in one of the following areas - NLP, Image Processing, Video Processing, Voice ...

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Amazon Nlp information

See Washington salary details

$42.5K

$139K

$222.6K

How much do amazon nlp jobs pay per year?

As of Aug 24, 2026, the average yearly pay for amazon nlp in Washington is $139,013.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,600.00 and $154,000.00 per year, depending on experience, location, and employer.

What is an Amazon NLP specialist?

An Amazon NLP (Natural Language Processing) specialist is a professional who works with Amazon's AI and machine learning tools to analyze, understand, and process human language data. They develop and improve algorithms that allow machines to interpret text and speech, supporting features like Alexa voice recognition, product recommendations, and customer service chatbots. These specialists typically have expertise in linguistics, data science, and programming. Their work helps Amazon enhance user experiences by enabling more natural and accurate interactions between humans and technology.

What are the key skills and qualifications needed to thrive as an Amazon NLP specialist?

To thrive as an NLP Specialist at Amazon, you need a strong background in computer science, machine learning, and linguistics, often supported by advanced degrees and experience with NLP research. Proficiency with Python, deep learning frameworks (like PyTorch or TensorFlow), AWS services, and NLP libraries such as SpaCy or Hugging Face is typically required. Outstanding problem-solving abilities, collaboration, and communication skills help you translate complex language data into scalable solutions. These skills are essential for developing innovative language technologies that power Amazon's products and improve customer experiences.

How does an Amazon NLP specialist typically collaborate with other teams within the organization?

As an Amazon NLP specialist, collaboration with cross-functional teams such as software engineers, data scientists, product managers, and UX designers is a key part of the role. You will regularly participate in meetings to define project requirements, discuss data annotation strategies, and integrate NLP models into larger product pipelines. Effective communication is essential for aligning on business goals and ensuring that NLP solutions are scalable and meet user needs. Additionally, you'll often contribute to code reviews and share best practices to enhance the overall quality of deployed NLP systems.

Are Amazon NLP engineers in demand?

Amazon NLP engineers are in high demand due to the company's focus on natural language processing technologies for products like Alexa and customer service automation. Skills in machine learning, deep learning, and tools such as Python and TensorFlow enhance job prospects in this field. The demand for NLP expertise is expected to grow as companies increasingly rely on AI-driven language solutions.

What are popular job titles related to Amazon Nlp jobs in Washington?

For Amazon Nlp jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Amazon Nlp jobs in Washington look for?

The top searched job categories for Amazon Nlp jobs in Washington are:

What cities in Washington are hiring for Amazon Nlp jobs?

Cities in Washington with the most Amazon Nlp job openings:

Amazon Nlp jobs near you
Infographic showing various Amazon Nlp job openings in Washington as of August 2026, with employment types broken down into 86% Full Time, 4% Part Time, 2% Temporary, and 8% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $139,013 per year, or $66.8 per hour.

Senior Data Scientist

Omm IT Solutions

Ellicott City, MD • On-site

Contractor

Re-posted 26 days ago

Job description

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PLEASE NOTE:<\/b><\/span><\/span><\/u>
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  • It is 100% onsite position in Woodlawn, MD.<\/b>
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  • Candidate should be local and ready to work on onsite 5 days a week at Client HQ in Woodlawn, MD.<\/b><\/span><\/span><\/span>
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  • Candidate must be able to obtain and maintain a public trust clearance<\/b>
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  • <\/b><\/span><\/span> <\/b><\/span><\/span><\/span>Interviews will be scheduled quickly for early next week. There will only be one round of interview<\/b><\/span><\/span><\/span>
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    Position Description:<\/b><\/span><\/span><\/u>
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    • Hands on experience in Python, NLP frameworks, SQL, Pandas, NLTK, SPACy and LLMs
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    • Well versed in SQL and analyzing trends and transactional data.
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    • Understand real world challenges and develop automated data solutions
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    • Develop, test, and deploy new techniques for NLP understanding
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    • Scalable development\/deployment of ML and Generative AI approaches (such as Large Language Models (LLMs)
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    • Train and optimize NLP\/LLM models and create Python based pipelines
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    • Experience building cloud native solutions on AWS
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    • Determine the nature of analytic problems, evaluate options, and offer recommendations for resolution.
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    • Advise on the methods and data needed and\/or available to evaluate the (intelligence or data) problem.
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    • Collaborate with data collectors and analysts to identify and close gaps on complex monitoring problems.
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    • Provide accurate, timely, complex, and sophisticated data analysis.
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      Key Required Skills:<\/b><\/span><\/span><\/u>
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      • Solid Experience with Natural Language Processing (NLP), Python, NLP frameworks, SQL, Pandas, NLTK and SPACy.
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      • Experience with Generative AI and Large Language Models (LLM)
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      • Excellent Communication skills.
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        Requirements<\/h3>\n
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        Skills Requirements:<\/b><\/span><\/span><\/span>
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        Basic Qualification:<\/b><\/span><\/span><\/span><\/u>
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        • Master's and 10+ years of experience, Bachelor's and 12+ years of experience or 18+ years in lieu of a degree<\/span><\/span><\/span>
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        • Bachelor's degree in Statistics, Applied Mathematics, Computer Science, or Information Science with industry experience on Python, NLP frameworks, SQL, Pandas, NLTK and SPACy, data science, and AI\/ML\/LLM engineering.<\/span><\/span><\/span>
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        • Overall 10+ years' experience in IT industry<\/span><\/span><\/span>
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          Required Skills:<\/b><\/span><\/span><\/span><\/u>
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          • Solid Experience with Natural Language Processing (NLP), Python, NLP frameworks, SQL, Pandas, NLTK and SPACy.<\/span><\/span><\/span>
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          • Experience with Generative AI and Large Language Models (LLM)<\/span><\/span><\/span>
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          • Evidence of true self\-starter and operating independently.<\/span><\/span><\/span>
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          • Fluency in Python Programming, version control and collaboration with GIT, standard Python packages (ex. Pandas, numpy, matplotlib) and ML frameworks<\/span><\/span><\/span>
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          • Knowledge of TensorFlow, PyTorch, Pandas, scikit\-learn, NLTK, Azure ML (optional), Amazon Web Services EC2.<\/span><\/span><\/span>
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          • Experience with scalable data engineering frameworks such as Apache Spark and orchestration frameworks such as Airflow, and\/or experience with semantic search.<\/span><\/span><\/span>
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          • Expert knowledge in conducting data analysis and applying advanced statistical concepts and ML methods to build, train, test, and evaluate a variety of supervised and unsupervised analytic models.<\/span><\/span><\/span>
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          • Experience with ML model deployment and operations like DevOps, MLOps, LLMOps.<\/span><\/span><\/span>
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          • Experience with NLP and Generative AI libraries like regular expressions (e.g., spacy, langchain), text annotation tools and semantic frameworks.<\/span><\/span><\/span>
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          • Ability to clean and process large amounts of real\-world data.<\/span><\/span><\/span>
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          • Experience retrieving and manipulating data from a variety of data sources included DB2, Oracle, SQL Server, Hadoop and flat files.<\/span><\/span><\/span>
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          • Excellent Communication skills.<\/span><\/span><\/span>
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          • Experience with database management systems (e.g., PostgresSQL, MySQL, SQLite, SQL, etc.)<\/span><\/span><\/span>
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          • Excellent analytical skills to identify potential risks and propose effective solutions.<\/span><\/span><\/span>
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          • Excellent problem\-solving skills, ability to collaborate with cross\-functional teams and proven communication in written and verbal formats to various audiences to include executive leadership.<\/span><\/span><\/span>
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            Desired Skills:<\/b><\/span><\/span><\/span><\/u>
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            • Prior experience with federal or state governments IT projects.<\/span><\/span><\/span>
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            • Industry experience preferred<\/span><\/span><\/span>
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            • Experience with, or the ability and willingness to learn distributed processing via the Hadoop ecosystem, i.e., Spark, Impala and Hive.<\/span><\/span><\/span>
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            • Experience working in an analytical research environment.<\/span><\/span><\/span>
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            • Experience in parallel processing such as GPU programming with CUDA<\/span><\/span><\/span>
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            • Experience with Mathematica<\/span><\/span><\/span>
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            • Experience using markup languages such as LaTeX, HTML, etc.<\/span><\/span><\/span>
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            • Experience with Natural Language Processing for anomaly detection<\/span><\/span><\/span>.
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