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Language Model Jobs in Maryland (NOW HIRING)

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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.

AI Security Solutions Architect

AIToolboard

College Park, MD • On-site

$150 - $210/hr

Other

Posted 7 days ago


Job description

BOOZ, ALLEN & HAMILTON, INC. College Park, US

Full-time

About the Role

AI Security Solutions Architect The Opportunity:As a Secure AI Architect, you'll be responsible for designing and implementing secure architectures for artifi cia l intelligence and machine learning ( AI / ML ) systems across the organization. This role bridges cybersecurity and AI engineering disciplines to ensure that AI models, data pipelines, and supporting infrastructure are protected against threats such as data poisoning, model inversion, prompt injection, and adversarial attacks.You will play a key role in shaping enterprise AI security strategies, developing secure model deployment frameworks, ensuring compliance with emerging AI regulations, and embedding security-by-design principles into all AI initiatives.Join us. The world can\'t wait.You Have:

  • 8+ years of experience in cybersecurity, systems architecture, or sof tware engineering, including AI/ML solution design
  • 3+ years of experience designing, deploying, and securing AI / ML pipelines, including model training, inference, and monitoring
  • Experience with large language model platforms and APIs such as OpenAI, Anthropic, Azure OpenAI Service, and Amazon Bedrock, ML frameworks such as TensorFlow, PyTorch, scikit-learn, and Hugging Face Transformers, data engineering and analytics platforms such as Databricks, Apache Spark, Snowflake, and Apache Iceberg, and ML orchestration and serving platforms such as Amazon SageMaker, Vertex AI, MLFlow, and Kubeflow
  • Experience implementing AI security controls, including data provenance, model integrity, and AI supply chain risk management
  • Experience integrating AI into operational workflows, including SOC automation, threat detection, and cyber analytics
  • Knowledge of AI governance frameworks and DoD Responsible AI principles
  • Ability to obtain a Secret clearance
  • HS diploma or GED

Nice If You Have:

  • 5+ y
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