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Language Model Jobs in Maryland (NOW HIRING)

LLM Specialist

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 ...

LLM Specialist

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 ...

LLM Specialist

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 ...

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 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 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 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 popular job titles related to Language Model jobs in Maryland?

For Language Model jobs in Maryland, the most frequently searched job titles 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.

Remote Artificial Intelligence & Machine Learning Engineer - Meetings in Annapolis, MD

AIToolboard

Annapolis, MD • On-site

$140 - $210/hr

Other

Posted 4 days ago


Key responsibilities

  • Design and develop software solutions that incorporate AI/ML to improve efficiency and user experience

  • Build and maintain data pipelines and AI-enabled applications

  • Support deployment of applications in cloud and containerized environments


Job description

Jobs / Remote Artificial Intelligence & Machine Learning Engineer - Meetings in Annapolis, MD

Remote Artificial Intelligence & Machine Learning Engineer - Meetings in Annapolis, MD

Full-time

About the Role

This job is remote but the first 2-5 days will be onsite in Annapolis, MD. There will be onsite meetings from time to time so candidates must be within driving distance of Annapolis, MD (21401)Candidates must be authorized to work in the U.S. without current or future sponsorship.This is a 5 year engagement with possible extensions.

We're looking for an AI/ML Software Engineer to design and build intelligent solutions that automate targeted tasks, support internal teams, and enhance user-facing applications. This role focuses on applying practical AI and machine learning techniques to real-world workflows, including automation, data processing, and advanced language model applications. You'll work on initiatives such as chatbot development, intelligent document processing, reporting enhancements, and building AI-driven tools for knowledge retrieval, transcription, translation, redaction, and more. The ideal candidate enjoys solving complex problems and turning emerging technologies into scalable, production-ready systems.

What You'll Do
  • Design and develop software solutions that incorporate AI/ML to improve efficiency and user experience
  • Collaborate with cross-functional teams to define system architecture, workflows, and technical approaches
  • Evaluate and implement appropriate solutions, including both LLM-based and traditional methods
  • Build and maintain data pipelines and AI-enabled applications
  • Develop and execute testing strategies, including unit and integration testing for AI workflows
  • Optimize systems for performance, scalability, and cost efficiency
  • Support deployment of applications in cloud and containerized environments
  • Document system design, workflows, and technical decisions
What We're Looking For
  • Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or a related field
  • 5+ years of experience in AI/ML, data science, or applied machine learning
  • 5+ years of experience in software development, system design, or backend/web applications
  • Experience working with modern AI tools, including large language models (LLMs), APIs, or locally deployed models
  • Strong programming experience in Python and building scalable backend services, APIs, or data pipelines
  • Solid understanding of SQL and relational databases (e.g., PostgreSQL)
  • Experience with Git, containerization (Docker), and cloud-based or distributed environments
  • Prior experience supporting government or public sector projects required
  • Must be authorized to work in the U.S. without current or future sponsorship
Nice to Have
  • Experience with RAG architectures, embeddings, vector search, or graph-based retrieval (e.g., Neo4j)
  • Exposure to multi-agent or task-driven AI systems and workflow orchestration
  • Familiarity with validating AI outputs, reducing hallucinations, and deploying AI into production environments
  • Experience contributing to open-source projects
  • Knowledge of hybrid cloud environments, asynchronous processing, or distributed systems
  • Exposure to frontend tools such as React or chatbot frameworks (e.g., Microsoft Teams integrations)
  • Familiarity with classical NLP techniques in addition to LLM-based approaches
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