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Artificial Intelligence Machine Learning Engineer Jobs in Elkton, MD

Hirekeyz Inc

Mainframe IMS DB Developer

Wilmington, DE · On-site

$47.50 - $61.25/hr

Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) * Experience using DevOps ...

Chenega Corporation

Chief Data Officer

Street, MD · On-site

$150 - $200/hr

Design and implement digital engineering infrastructure, leveraging artificial intelligence (AI), machine learning (ML), and data science methodologies to transform large volumes of experimental ...

Ampcus Inc

Sr. Java Developer

Wilmington, DE · On-site

$55.50 - $70.75/hr

... Developer, responsible for executing software solutions, design, development, and technical ... artificial intelligence, machine learning, mobile, etc.). • Skills: Java, Spring Boot, AWS. • ...

NCSL International

Computational Data Scientist

Aberdeen, MD · On-site

$115 - $130/hr

... artificial intelligence, machine learning (ML), probabilistic graph models, neural networks, or ... About Us SURVICE Engineering is a nationally recognized, single-source engineering service provider ...

New

Xforia, Inc.

Java AWS with CI/CD

Wilmington, DE · On-site

$75/hr

... to software engineering communities of practice and events that explore new and emerging ... cloud, artificial intelligence, machine learning, mobile, etc.) • Practical cloud native ...

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All JobsArtificial Intelligence Machine Learning Engineer JobsArtificial Intelligence Machine Learning Engineer Jobs in Elkton, MD

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:

Artificial Intelligence Machine Learning Engineer jobs near you
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.

Mainframe IMS DB Developer

Hirekeyz Inc

Wilmington, DE • On-site

$47.50 - $61.25/hr

Contractor

Re-posted 6 days ago

Job description

Job Title: Mainframe IMS DB Developer (10 roles)

Location: Wilmington, DE – 5 days onsite

Job Type: Contract/W2/Full Time

Job Responsibilities:

Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems

Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems

Produces design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development

Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture

Contributes to software engineering communities of practice and events that explore new and emerging technologies

Adds to team culture of diversity, equity, inclusion, and respect
Required Qualifications, Capabilities, And Skills

  • Formal training or certification on software engineering concepts and 3+ years of applied experience
  • Hands-on practical experience in system design, application development, testing, and operational stability
  • Hands-on experience in Mainframe Assembler programming, IMS, DB2
  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
  • Overall knowledge of the Software Development Life Cycle
  • Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
  • Experience using DevOps tools in a cloud environment, such as Ansible, Docker, GitHub, Jenkins, Kubernetes and SonarQube
  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages

Preferred Qualifications, Capabilities, And Skills:

  • Exposure to cloud technologies
  • Familiarity with Logging, Observability and Monitoring tools