1

Language Model Jobs in Maryland (NOW HIRING)

Experience with artificial intelligence/large language model platform features, including Skills, Model Context Protocol (MCP), Plugins, or partner-led delivery models involving systems integrators ...

Data Engineer II

Columbia, MD · On-site +1

$93K - $100K/yr

The LLM Specialist will drive the design, development, and operationalization of advanced large-language-model capabilities across a cloud-based analytics ecosystem. This role leads innovation ...

Data Engineer II

Columbia, MD · On-site

$93K - $100K/yr

The LLM Specialist will drive the design, development, and operationalization of advanced large-language-model capabilities across a cloud-based analytics ecosystem. This role leads innovation ...

Data Engineer II

Columbia, MD · On-site

$93K - $100K/yr

The LLM Specialist will drive the design, development, and operationalization of advanced large-language-model capabilities across a cloud-based analytics ecosystem. This role leads innovation ...

Architect semantic models to support natural language query (Q&A, Power BI Copilot, Azure OpenAI integration) by enforcing descriptive field names, synonyms, and measure annotations * Define and ...

Architect semantic models to support natural language query (Q&A, Power BI Copilot, Azure OpenAI integration) by enforcing descriptive field names, synonyms, and measure annotations * Define and ...

Architect semantic models to support natural language query (Q&A, Power BI Copilot, Azure OpenAI integration) by enforcing descriptive field names, synonyms, and measure annotations * Define and ...

Showing results 41-60

Language Model information

What is a language model?

Language models are artificial intelligence systems designed to understand, generate, and manipulate human language. They are trained on vast amounts of text data to predict the next word in a sequence, answer questions, write content, translate languages, and perform other language-related tasks. Modern language models, such as those based on deep learning, have revolutionized natural language processing by enabling more accurate and context-aware interactions between humans and machines.

What is the difference between Language Model vs Data Scientist?

AspectLanguage ModelData Scientist
Required CredentialsNone specific; knowledge of NLP and AI concepts helpfulBachelor's or higher in Data Science, Statistics, or related fields
Work EnvironmentAI development teams, research labs, tech companiesBusiness, finance, healthcare, and various industries
Employer & Industry UsageUsed in AI applications, chatbots, content generationAnalyzing data, building models, providing insights

While both roles involve working with data and AI, a Language Model is an AI system designed to understand and generate human language, often developed by AI engineers. A Data Scientist analyzes data to extract insights and build predictive models, often utilizing language models as tools. Understanding the differences helps clarify career paths and job expectations in the AI and data fields.

What are the key skills and qualifications needed to thrive as a language model, and why are they important?

To thrive as a Language Model Engineer, you need a strong background in computer science, machine learning, and natural language processing, often supported by a relevant degree. Experience with frameworks like TensorFlow or PyTorch, and familiarity with large-scale data processing tools, are typically required. Strong analytical thinking, collaboration, and problem-solving skills help in designing effective models and working with cross-functional teams. These capabilities are crucial for developing performant and accurate language models that meet complex real-world communication needs.

What are the common challenges faced by professionals working on language model development teams?

Professionals developing language models often encounter challenges such as managing large datasets, addressing biases in training data, and optimizing model performance while balancing computational resources. Collaboration with cross-functional teams—including data scientists, engineers, and domain experts—is essential to ensure the model's accuracy and relevance. Additionally, staying current with rapid advancements in AI research and maintaining responsible AI practices are crucial aspects of the role.
What are popular job titles related to Language Model jobs in Maryland? For Language Model jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Language Model jobs in Maryland look for? The top searched job categories for Language Model jobs in Maryland are:
What cities in Maryland are hiring for Language Model jobs? Cities in Maryland with the most Language Model job openings:
Infographic showing various Language Model job openings in Maryland as of August 2026, with employment types broken down into 20% Internship, 70% Full Time, and 10% Part Time. Highlights an 70% In-person, and 30% Remote job distribution.

Data Scientist Engineer Level 2 - AI/ML Project TS/SCI w/Poly

Peraton

Laurel, MD

$176K - $282K/yr

Full-time

PTO

Re-posted 29 days ago


Peraton rating

8.3

Company rating: 8.3 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

49th of 223 rated it services


Job description

Responsibilities

Are you passionate about building cutting-edge solutions that support national security? Do you thrive in fast-paced, mission-driven environments? Peraton is seeking a talented and skilledData Scientist Engineers to join our team inLaurel, MD.

A data scientist will develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets; prototype or consider several algorithms and decide upon final model based on suitable performance metrics; build models or develop experiments to generate data when training or example datasets are unavailable; generate reports and visualizations that summarize datasets and provide data-driven insights to customers; partner with subject matter experts to translate manual data analysis into automated analytics; implement prototype algorithms within production frameworks for integration into analyst workflows.

MPOJobs 

#AJCM #PeratonRoyalMove

#MDFSP

Keywords: Data analysis software such as R, Python, SAS, or MATLAB, data formats (e.g., SQL tables, structured metadata, network logs), standard techniques and metrics (e.g. cross validation, ROC curves, confusion matrices);  Artificial Intelligence (AI), Large Language Model (LLM), Machine Learning (ML), AI/ML algorithms, statistical analysis, RAG, agents, and agentic workflow 

Qualifications

BASIC QUALIFICATIONS:  LU

  • Bachelor's degree from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science) and five (5) years of experience analyzing datasets and developing analytics as well as five (5) years of experience programming with data analysis software such as R, Python, SAS, or MATLAB.
  • An additional four (4) years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics can be substituted for a Bachelor's degree.
  • A PhD from an accredited college or university in a quantitative discipline can be substituted for four (4) years of experience. 
  • Produce data visualizations that provide insight into dataset structure and meaning  
  • Work with subject matters experts (SMEs) to identify important information in raw data and develop scripts that extract this information from a variety of data formats (e.g., SQL tables, structured metadata, network logs) 
  • Incorporate SME input into feature vectors suitable for analytic development and testing 
  • Develop Al and machine learning models to address complex problems. 
  • Develop and optimize Large Language Models (LLM) for various NLP tasks and information retrieval 
  • Experience with utilizing GPU-based computing resources to accelerate model training and deployment. 
  • Develop and implement statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics 
  • Develop statistical tests to make data-driven recommendations and decisions 
  • Develop experiments to collect data or models to simulate data when required data are unavailable 
  • Develop feature vectors for input into machine learning algorithms 
  • Identify the most appropriate algorithm for a given dataset and tune input and model parameters 
  • Evaluate and validate the performance of analytics using standard techniques and metrics (e.g. cross validation, ROC curves, confusion matrices) 
  • Oversee the development of individual analytic efforts and guide team in analytic development process  

An Active TS/SCI clearance with polygraph is required 

Additional Desired Qualifications:  

  • AI/ML Integration:Familiarity with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) frameworks, agents, and agentic workflow. 

Benefits: Peraton offers enhanced benefits to employees supporting this critical National Security program, which include heavily subsidized employee benefits coverage for you and your dependents, 25 days of PTO accrued annually up to a generous PTO cap, and eligibility to participate in an attractive bonus plan.

Peraton Overview

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.

Target Salary Range$176,000 - $282,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.EEOEEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.Employment Type: FULL_TIME

What Peraton employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Peraton logo

About Peraton

Sourced by ZipRecruiter

At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Herndon, VA, US

Year founded

2017