AI Engineer – Data Scientist (NLP & Cybersecurity)

Jobright.ai

McLean (VA)

In loco

USD 90.000 - 120.000

Tempo pieno

14 giorni+
Generatore di candidature

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Vantaggi offerti da questo lavoro

Medical insurance
Vision insurance
401(k)

Descrizione del lavoro

A cybersecurity solutions firm is seeking an AI Engineer – Data Scientist with expertise in NLP and data engineering. You'll develop machine learning models to enhance security workflows and analyze large-scale cybersecurity data. The ideal candidate has 8-10 years of experience, a relevant degree, and proficiency in Python and NLP tools. The role is full-time and based in McLean, VA.

Competenze

  • 8-10 years of experience building, training, and deploying NLP models in production environments.
  • Strong knowledge of data engineering concepts: ETL processes and data pipeline tools.
  • Excellent analytical, problem-solving, and communication skills.

Mansioni

  • Design, develop, and deploy NLP pipelines for analyzing cybersecurity-related text data.
  • Build and optimize predictive models to identify and forecast cybersecurity risks.
  • Develop data ingestion and transformation workflows from various data sources.

Conoscenze

Python
Natural Language Processing
Data Engineering
Machine Learning
SQL/NoSQL

Formazione

Bachelor’s or Master’s degree in a relevant field

Strumenti

spaCy
NLTK
TensorFlow
PyTorch
Apache Spark

Descrizione del lavoro

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Job Summary:

EnDyna Inc is seeking an AI Engineer – Data Scientist with expertise in Natural Language Processing (NLP) and data engineering within the cybersecurity domain. The role involves developing machine learning models and data pipelines to process and analyze large-scale cybersecurity-related text data, while collaborating with cybersecurity analysts to enhance security workflows.

Responsibilities:

• Design, develop, and deploy NLP pipelines for extracting, processing, and analyzing large-scale cybersecurity-related text data (e.g., threat reports, logs, vulnerability disclosures).

• Build and optimize predictive models to identify, classify, and forecast cybersecurity risks and trends.

• Implement advanced algorithms such as named entity recognition (NER), topic modeling, sentiment analysis, and text summarization.

• Develop data ingestion and transformation workflows from multiple structured and unstructured data sources.

• Design and maintain scalable data pipelines and data lakes to support analytics and model training.

• Conduct exploratory data analysis (EDA) to identify patterns, anomalies, and actionable insights.

• Perform feature engineering to enhance model accuracy and relevance.

• Leverage NLP and AI to detect, analyze, and predict cyber threats, vulnerabilities, and attack patterns.

• Collaborate with cybersecurity analysts to validate model outputs and integrate AI-driven insights into security workflows.

• Create interactive dashboards and visualizations (Power BI, Tableau, or similar) to communicate findings to technical and non-technical stakeholders.

• Prepare and present analytical reports summarizing methods, findings, and recommendations.

Qualifications:

Required:

• Bachelor’s or Master’s degree in Artificial Intelligence, Data Science, Computer Science, or related field.

• Strong proficiency in Python and libraries such as spaCy, NLTK, Hugging Face Transformers, TensorFlow, or PyTorch.

• 8-10 years of experience building, training, and deploying NLP models in production environments.

• Strong knowledge of data engineering concepts: ETL processes, SQL/NoSQL databases, and data pipeline tools (e.g., Apache Spark, Airflow).

• Solid understanding of machine learning methods and predictive modeling.

• Excellent analytical, problem-solving, and communication skills.

• Need to be a US citizen.

Preferred:

• Experience working with cybersecurity datasets (e.g., CVE data, threat intelligence feeds, log analysis).

• Familiarity with cybersecurity frameworks (e.g., MITRE ATT&CK, NIST).

• Experience with cloud platforms (AWS, Azure, or GCP).

• Familiarity with containerization (Docker) and CI/CD for ML deployment.

Company:

EnDyna provides innovative solutions to government agencies, backed by our strong commitment to quality. EnDyna’s mission is to support U.S. Founded in 2001, headquartered in McLean, Virginia, US, team size 51-200 employees, currently Growth Stage.

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Industries
    Software Development

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