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Artificial Intelligence Machine Learning Engineer Jobs in Elkton, MD

Designs, develops, trains, evaluates, and deploys machine learning and artificial intelligence ... Collaborates with data scientists, software engineers, product owners, and business stakeholders to ...

Designs, develops, trains, evaluates, and deploys machine learning and artificial intelligence ... Collaborates with data scientists, software engineers, product owners, and business stakeholders to ...

Working knowledge of machine learning and artificial intelligence paradigms and libraries * Familiar with Large Language Models ( LLMs) and prompt engineering Preferred qualifications, capabilities ...

New

Develop and implement data science, machine learning and artificial intelligence solutions that ... At least five years of experience in data science, analytics, data engineering or digital ...

Java Full Stack Developers

Wilmington, DE · On-site

$51 - $65.75/hr

... artificial intelligence, machine learning, mobile, etc.) • Familiarity with modern front-end technologies. • Exposure to cloud technologies. Preferred : • Specific attributes such as AWS ...

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Artificial Intelligence Machine Learning Engineer information

See Elkton, MD salary details

$30.5K

$124.7K

$187.4K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for artificial intelligence machine learning engineer in Elkton, MD is $124,724.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,300.00 and $150,100.00 per year, depending on experience, location, and employer.

What is an artificial intelligence machine learning engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by artificial intelligence machine learning engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.

What is the difference between Artificial Intelligence Machine Learning Engineer vs Data Scientist?

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in Elkton, MD look for?

The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Elkton, MD are:

What cities near Elkton, MD are hiring for Artificial Intelligence Machine Learning Engineer jobs?

Cities near Elkton, MD with the most Artificial Intelligence Machine Learning Engineer job openings:

Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Elkton, MD as of August 2026, with employment types broken down into 100% Full Time. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $124,724 per year, or $60 per hour.

AI/ML Engineer

Parsons

Aberdeen, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 25 days ago


Parsons rating

7.7

Company rating: 7.7 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

266th of 449 rated engineering


Job description

In a world of possibilities, pursue one with endless opportunities. Imagine Next!At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what's possible.

Job Description:

Parsons is looking for an amazingly talented AI/ML Engineer to join our team! In this role you will get to design, develop, deploy, and maintain Artificial Intelligence (AI) and Machine Learning (ML) solutions that support business, operational, and customer-facing products and services.

What You'll Be Doing:

  • Supports AI/ML program and project implementation efforts and makes significant contributions to department goals, innovation initiatives, and strategic planning activities.

  • Designs, develops, trains, evaluates, and deploys machine learning and artificial intelligence models to solve business and operational challenges.

  • Collaborates with data scientists, software engineers, product owners, and business stakeholders to define AI/ML requirements and solution approaches.

  • Develops and maintains data pipelines, feature engineering processes, and model training workflows.

  • Monitors model performance, drift, accuracy, and reliability in production environments and implements corrective actions as necessary.

  • Investigates and resolves defects, performance issues, and operational incidents related to AI/ML applications and services.

  • Oversees model testing, validation, and quality assurance activities to ensure solutions meet business, regulatory, and technical requirements.

  • Supports MLOps practices including model versioning, deployment automation, monitoring, and lifecycle management.

  • Evaluates emerging AI technologies, machine learning frameworks, and industry best practices to improve organizational capabilities.

  • Ensures AI/ML solutions comply with security, privacy, ethical AI, and governance requirements.

  • Documents model architecture, assumptions, performance metrics, and deployment procedures.

  • Acts as a technical resource to managers, engineers, analysts, and other employees throughout the organization.

  • Performs other responsibilities associated with this position as may be appropriate.

What Required Skills You'll Bring:

  • Bachelor's Degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Computer Engineering, Mathematics, Statistics, or related field.

  • 5+ years of related professional experience in software engineering, machine learning engineering, data science, or artificial intelligence development.

  • Advanced knowledge of machine learning, artificial intelligence, statistical modeling, and predictive analytics concepts.

  • Experience developing and deploying machine learning models in production environments.

  • Proficiency in Python and common AI/ML libraries and frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras, Hugging Face, or similar technologies.

  • Experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, and AI agent architectures preferred.

  • Knowledge of MLOps practices, CI/CD pipelines, model monitoring, and deployment automation.

  • Experience working with structured and unstructured data sources and large-scale datasets.

  • Understanding of cloud-based AI/ML platforms such as AWS SageMaker, Azure AI, Google Vertex AI, Databricks, or equivalent environments.

  • Strong analytical, problem-solving, and troubleshooting skills.

  • Ability to work effectively under pressure and manage multiple priorities.

  • Advanced written and verbal communication skills.

  • Proficiency in Microsoft Office applications.

  • Advanced time management and organizational skills.

  • Ability to communicate complex technical concepts to both technical and non-technical audiences.

  • Must be a US Citizen

What Desired Skills You'll Bring:

  • Experience deploying AI/ML solutions in enterprise or production environments preferred.

  • AWS Certified Machine Learning Engineer, AWS Machine Learning Specialty, Microsoft Azure AI Engineer Associate, Google Professional Machine Learning Engineer, Databricks Machine Learning Professional, or equivalent certification preferred.

  • Generative AI, LLM, or MLOps certifications preferred.

  • A SECRET Clearance (or higher is preferred)

Security Clearance Requirement:

NoneThis position is part of our Federal Solutions team.The Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our intelligent employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental. We promote a culture of excellence and close-knit teams that take pride in delivering, protecting, and sustaining our nation's most critical assets, from Earth to cyberspace. Throughout the company, our people are anticipating what's next to deliver the solutions our customers need now.Salary Range: $103,500.00 - $181,100.00We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, Employee Stock Ownership Plan (ESOP), 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle!Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status.We truly invest and care about our employee's wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest-APPLY TODAY!

Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer tohttps://www.parsons.com/fraudulent-recruitment/.


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