1

Senior Natural Language Processing Engineer Jobs in Virginia

AI/ML Engineer Location: Remote Work Authorization: Must be able to work without sponsorship ... Apply natural language processing techniques to extract entities, relationships, topics, events ...

... Senior Labor Category: Minimum 8 years of experience with a Bachelor's degree; or 7 years of ... natural language processing, generative AI, reinforcement learning, computer vision, or related ...

... Senior Labor Category: Minimum 8 years of experience with a Bachelor's degree; or 7 years of ... natural language processing, generative AI, reinforcement learning, computer vision, or related ...

Data Scientist

Mclean, VA · On-site

$200K - $240K/yr

Conduct sophisticated analysis using deployed tools and natural language processing (NLP ... that data to senior leadership. * Conducted advanced statistical analysis on personnel ...

Showing results 41-60

Senior Natural Language Processing Engineer information

What is the difference between Senior Natural Language Processing Engineer vs Data Scientist?

AspectSenior Natural Language Processing EngineerData Scientist
Required CredentialsAdvanced degree in CS, NLP, or related field; experience with NLP frameworksDegree in CS, statistics, or related; data analysis skills
Work EnvironmentDevelops NLP models, algorithms, and language-specific toolsAnalyzes data, builds predictive models, visualizes insights
Employer & Industry UsageTech companies, AI startups, research institutions focusing on language techVarious industries including finance, healthcare, marketing

While both roles require strong analytical skills and programming knowledge, Senior NLP Engineers specialize in language-specific models and algorithms, whereas Data Scientists focus on broader data analysis and predictive modeling across various data types.

What are some common challenges faced by Senior Natural Language Processing Engineers when deploying NLP models to production?

Senior NLP Engineers often encounter challenges such as ensuring model scalability, maintaining accuracy with real-world data, and addressing data privacy concerns. Deploying models at scale requires optimizing for speed and efficiency, as well as monitoring performance to handle domain shifts or unexpected inputs. Collaboration with DevOps and data engineering teams is crucial to integrate models seamlessly into existing pipelines and to ensure robust, maintainable solutions.

What does a Senior Natural Language Processing Engineer do?

A Senior Natural Language Processing (NLP) Engineer designs and implements advanced algorithms that enable computers to understand, interpret, and generate human language. They work on tasks such as text classification, sentiment analysis, machine translation, and conversational AI. In addition to developing NLP models, they often lead projects, mentor junior team members, and collaborate with data scientists, software engineers, and product managers to build and deploy language-based applications. Their expertise helps organizations leverage language data to solve complex problems and improve user experiences.

What are the key skills and qualifications needed to thrive as a Senior Natural Language Processing Engineer, and why are they important?

To thrive as a Senior Natural Language Processing Engineer, you need a deep understanding of machine learning, linguistics, and advanced programming skills in languages like Python, typically backed by a degree in computer science or a related field. Familiarity with NLP frameworks (such as spaCy, NLTK, or Hugging Face), cloud platforms, and experience with deep learning libraries like TensorFlow or PyTorch are crucial. Strong problem-solving abilities, effective communication, and the ability to work collaboratively in multidisciplinary teams are standout soft skills. These skills and qualities are essential for developing, deploying, and refining language-based AI solutions that meet complex business and user needs.
What job categories do people searching Senior Natural Language Processing Engineer jobs in Virginia look for? The top searched job categories for Senior Natural Language Processing Engineer jobs in Virginia are:
What cities in Virginia are hiring for Senior Natural Language Processing Engineer jobs? Cities in Virginia with the most Senior Natural Language Processing Engineer job openings:
Cyber Machine Learning Engineer, Senior

Cyber Machine Learning Engineer, Senior

Booz Allen Hamilton

Arlington, VA • On-site

Full-time

Posted 16 hours ago


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

13th of 73 rated business consultants


Job description

Job Summary:
Booz Allen Hamilton is a mission-oriented company seeking a Cyber Machine Learning Engineer to enhance cyber defense and threat hunting using machine learning. The role involves building and deploying production-ready models for detecting advanced persistent threats, while employing innovative methods and tools in cybersecurity.
Responsibilities:
• Identify opportunities for effective applications of machine learning to unique cyber defense use cases.
• Build, train, and package production-ready models in service of detection of advanced persistent threats, adhering to software development best practices.
• Stay aware of latest research in machine learning and cybersecurity, demonstrating a history of intellectual curiosity and interest towards developing novel solutions for challenging problem sets.
Qualifications:
Required:
• 2+ years of experience with cyber threat hunting and analysis of compromises within security logs, including endpoint and network data
• 2+ years of experience exploring datasets, training machine learning models to perform inference, and utilizing the output to further cyber investigations
• Experience with MITRE ATT&CK framework, MISP threat sharing, or cyber intelligence platforms, including seQure
• Experience packaging and deploying production-level models using Python, Bash, Docker, or Kubernetes
• Experience with data warehousing, ETL, or data streaming technologies, including Kafka
• Experience with SIEM technologies such as Splunk or ElasticSearch
• Experience with developing novel solutions for challenging problems
• Top Secret clearance
• Bachelor’s degree
Preferred:
• Experience working with large language models (LLMs), natural language processing (NLP), and data science workflows
• Experience with data brokers, including Kafka, Confluent, Benthos, RedPanda, or RabbitMQ
• Experience with cloud platforms, including Azure, AWS, or GovCloud, or distributed systems
• TS/SCI clearance with a polygraph
• Master’s degree preferred; Doctorate degree a plus
Company:
Booz Allen Hamilton is a consulting firm that specializes in analytics, technology, and engineering. Founded in 1914, the company is headquartered in Mclean, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Booz Allen Hamilton employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Booz Allen Hamilton logo

About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914