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Entry Level Computer Science Artificial Intelligence Jobs in Maryland

Towson University

Assistant Teaching Professor

Towson, MD · On-site

$50K - $55K/yr

D. in Computer Science, Data Science, Artificial Intelligence, Learning Sciences, Cognitive Psychology, Educational Technology, or a closely related field; • demonstrated commitment to culturally ...

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Entry Level Computer Science Artificial Intelligence information

Is artificial intelligence taking entry-level computer science jobs?

Entry-level computer science jobs involving artificial intelligence are growing as companies seek new talent with skills in machine learning, programming, and data analysis. However, competition remains high, and candidates with relevant internships, certifications, or knowledge of AI tools like Python and TensorFlow have better prospects. Staying current with industry trends and developing practical skills are important for entry-level applicants in this field.

What is the difference between Entry Level Computer Science Artificial Intelligence vs Entry Level Data Science?

AspectEntry Level Computer Science Artificial IntelligenceEntry Level Data Science
Required CredentialsBachelor's in Computer Science, AI, or related fields; knowledge of programming, machine learning, and algorithmsBachelor's in Data Science, Statistics, or related fields; skills in programming, statistics, and data analysis
Work EnvironmentTech companies, research labs, startups focusing on AI applicationsBusiness, finance, healthcare, and tech firms analyzing data for insights
Employer & Industry UsageUsed in AI development, machine learning projects, and automationUsed in data analysis, predictive modeling, and business intelligence

Both roles require programming skills and a strong foundation in computer science. While AI focuses on developing intelligent systems and algorithms, data science emphasizes analyzing data to inform decisions. The choice depends on your interest in creating AI solutions versus extracting insights from data.

What is an entry level computer science artificial intelligence job?

Entry Level Computer Science Artificial Intelligence jobs are positions designed for recent graduates or individuals with limited professional experience in computer science, specifically focusing on artificial intelligence (AI). These roles typically involve assisting in the development, testing, and deployment of AI models and algorithms under the guidance of more experienced engineers or data scientists. Tasks may include data preprocessing, writing code for machine learning models, evaluating model performance, and collaborating with teams to solve real-world problems using AI. Entry-level AI jobs provide an opportunity to gain practical experience, learn industry-standard tools and frameworks, and build foundational skills for a career in artificial intelligence.

What types of projects can I expect to work on as an entry level computer science artificial intelligence professional?

As an entry-level AI professional, you’ll typically contribute to projects involving data preprocessing, model training, and algorithm implementation under the guidance of senior team members. You might work on tasks like cleaning datasets, developing and testing machine learning models, and assisting in deploying AI solutions. Collaboration with software engineers, data scientists, and product managers is common, providing you with a well-rounded introduction to real-world AI development and teamwork. These projects help you build foundational skills while gaining exposure to various AI applications and industry tools.

What are the key skills and qualifications needed to thrive as an entry level computer science artificial intelligence professional?

To excel in an entry-level AI role, you need a solid understanding of computer science fundamentals, programming languages like Python, and basic knowledge of algorithms and data structures, typically supported by a relevant degree. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), data analysis tools, and version control systems is highly valued. Strong problem-solving skills, curiosity, and effective teamwork set candidates apart in this field. These abilities are crucial for building robust AI solutions, adapting to technological advances, and collaborating efficiently on complex projects.
What are popular job titles related to Entry Level Computer Science Artificial Intelligence jobs in Maryland? For Entry Level Computer Science Artificial Intelligence jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Entry Level Computer Science Artificial Intelligence jobs in Maryland look for? The top searched job categories for Entry Level Computer Science Artificial Intelligence jobs in Maryland are:
What cities in Maryland are hiring for Entry Level Computer Science Artificial Intelligence jobs? Cities in Maryland with the most Entry Level Computer Science Artificial Intelligence job openings:
Entry Level Computer Science Artificial Intelligence jobs near you
Infographic showing various Entry Level Computer Science Artificial Intelligence job openings in Maryland as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 21% Part Time, 2% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

AI/ML Engineer (Artificial Intelligence & Intelligent Automation)

Reef Point Group

Annapolis, MD • On-site

Full-time

Posted 9 days ago

Job description

Description:

ReefPoint Group (RPG) is a mission-driven consulting firm dedicated to improving outcomes for Veterans, service members, and federal agencies through data, technology, and strategic consulting. We partner with our clients to solve complex operational challenges, modernize enterprise systems, and transform data into actionable insights that drive mission success.


At RPG, we value curiosity, collaboration, integrity, and innovation. Our teams work alongside clients to deliver practical solutions that make a measurable impact while fostering a culture of continuous learning and professional growth.


Position Overview

ReefPoint Group is seeking AI/ML Engineers and Senior AI Engineers to join our growing Data & AI practice. This position is part of our AI & Intelligent Automation Talent Community, supporting multiple current and upcoming opportunities across our federal client portfolio.


We're looking for professionals who enjoy transforming complex data into intelligent solutions that improve decision-making, automate business processes, and solve real-world challenges. Whether your experience is centered around machine learning, intelligent automation, generative AI, natural language processing, MLOps, or AI platform engineering, you'll have the opportunity to work on meaningful projects that support mission-critical organizations.


Successful candidates have experience developing, deploying, and supporting AI-enabled solutions using cloud technologies, enterprise data platforms, and modern software engineering practices. Experience with platforms such as Azure AI, Azure OpenAI, Databricks, Palantir Foundry, AWS AI Services, Python, OpenAI, or similar technologies is highly desirable.


What You'll Do

  • Design, develop, and deploy AI and machine learning solutions that support mission-critical business objectives.
  • Develop scalable machine learning pipelines and intelligent automation workflows.
  • Build, train, evaluate, and optimize machine learning models for operational use.
  • Integrate AI capabilities into enterprise applications, cloud platforms, and data ecosystems.
  • Collaborate with data engineers, architects, product managers, and business stakeholders to identify opportunities for AI-driven innovation.
  • Prepare, transform, and engineer data to support machine learning and predictive analytics.
  • Deploy, monitor, and improve machine learning models in production environments using MLOps best practices.
  • Support natural language processing (NLP), document intelligence, retrieval-augmented generation (RAG), and generative AI initiatives where appropriate.
  • Develop APIs and automation that integrate AI capabilities into enterprise workflows.
  • Evaluate emerging AI technologies and recommend practical solutions for client challenges.
  • Participate in Agile development activities including sprint planning, demonstrations, and retrospectives.
  • Document technical solutions and communicate complex concepts to both technical and non-technical audiences.
Requirements:
  • Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, Mathematics, or a related technical discipline
  • Minimum of 3 years of professional experience developing AI, machine learning, intelligent automation, advanced analytics, or data science solutions.
  • Experience programming in Python and working with machine learning or AI frameworks.
  • Experience deploying AI or machine learning solutions within cloud or enterprise environments.
  • Understanding of data engineering concepts, model lifecycle management, and software development best practices.
  • Experience collaborating with multidisciplinary technical teams.
  • Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

Experience with one or more of the following technologies or disciplines is highly desired.


Artificial Intelligence & Machine Learning
  • Machine Learning
  • Generative AI
  • Large Language Models (LLMs)
  • Natural Language Processing (NLP)
  • Intelligent Automation
  • Predictive Analytics
  • Retrieval-Augmented Generation (RAG)
  • Prompt Engineering
  • AI Agents
AI Platforms & Cloud Technologies
  • Azure AI Services
  • Azure Machine Learning
  • Azure OpenAI
  • Databricks
  • Palantir Foundry
  • AWS AI Services
  • Google Vertex AI
Programming & Development
  • Python
  • SQL
  • Spark
  • MLflow
  • LangChain
  • Vector Databases
  • REST APIs
  • Git
MLOps & Modern Engineering
  • MLOps
  • Model Deployment
  • Docker
  • Kubernetes
  • CI/CD
  • DevSecOps
Additional Experience
  • AI-assisted automation
  • Data engineering and enterprise data platforms
  • Model monitoring and evaluation
  • Federal consulting experience
  • Experience supporting VA, DoD, DHA, CMS, HHS, or other federal agencies
  • Active Public Trust or Security Clearance (or ability to obtain one)

Why Join ReefPoint Group?

At ReefPoint Group, you'll help shape how federal agencies leverage artificial intelligence to solve complex challenges and improve mission outcomes. You'll collaborate with experienced consultants, engineers, and data professionals to build innovative solutions that modernize government services and deliver meaningful results.


We foster a collaborative environment where innovation is encouraged, professional growth is supported, and every team member has the opportunity to make a lasting impact.


If you're passionate about artificial intelligence, automation, and solving real-world problems through technology, we'd love to hear from you.


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