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Artificial Intelligence Machine Learning Engineer Jobs in Baltimore, MD

Parsons

AI/ML Engineer

Aberdeen, MD · On-site

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

Parsons Corporation

AI/ML Engineer

Aberdeen, MD · On-site

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

Reflexive Concepts

AI/ML Engineer II

Annapolis, MD · On-site

Reflexive Concepts is seeking a skilled Artificial Intelligence/Machine Learning Engineer to join our team! Specifically, we are looking for an AI/ML Engineer to design, create, test, and productize ...

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

Artificial Intelligence Machine Learning Engineer information

See Baltimore, MD salary details

$31.3K

$128K

$192.3K

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

As of Aug 8, 2026, the average yearly pay for artificial intelligence machine learning engineer in Baltimore, MD is $127,950.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,900.00 and $154,000.00 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 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 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 are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in Baltimore, MD? For Artificial Intelligence Machine Learning Engineer jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in Baltimore, MD look for? The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Artificial Intelligence Machine Learning Engineer jobs? Cities near Baltimore, 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 Baltimore, MD as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $127,950 per year, or $61.5 per hour.

Artificial Intelligence/Machine Learning Engineer 2 - (Python, PyTorch, TensorFlow)

Akina, Inc.

Annapolis Junction, MD

$207K - $253K/yr

Full-time

Retirement, PTO

Re-posted 10 days ago

Job description

Artificial Intelligence/Machine Learning 2 - (Python, TensorFlow, PyTorch)

Clearance: TS/SCI - Polygraph required
Position ID: 25-8904-AIML2
Location: Annapolis Junction, Maryland

Description:

The Artificial Intelligence/Machine Learning (AI/ML) Engineer designs, creates, tests, and productizes AI/ML algorithms to solve business challenges.

The AI/ML models they create should be capable of learning and making predictions as defined by the business logic developed to meet customer requirements.

The AI/ML Engineer should be proficient in all aspects of model architecture, data pipeline interaction, and metrics application, interpretation, and presentation.

The AI/ML Engineer needs familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance.

Through an understanding of training, retraining, deploying, scheduling, monitoring, and improving models through iterative user and system feedback, the AI/ML Engineer designs and creates scalable solutions for optimal performance.

The AI/ML Engineer may be responsible for leading geographically diverse teams and will often serve as a primary POC for AI-related matters, so must have exceptional analytical, problem-solving and communication skills.

Expert knowledge of multiple programming languages, e.g. Python, Java, C, R, a plus.

  • Select appropriate data sets.
  • Perform statistical analysis.
  • Run machine learning algorithms.
  • Use results to improve models.
  • Train and retrain systems when needed.
  • Experience in working with various ML libraries and packages.
  • Run standard test and evaluation protocols.
  • Provide system integration oversight.
  • Oversee test and evaluation of AI and ML algorithms through an iterative design process to meet verification and validation requirements.
  • Research and implement a broad range of AI and ML algorithms and tools.
  • Design or select appropriate data and knowledge representation methods.
  • Recognize software architecture, data modelling, and data structures.
  • Transform and convert data science prototypes into scalable solutions.
  • Verify data and model output quality.
  • Identify differences in data distribution that affect model performance.

Position Required Skills:

  • Standard AIML2 labor category requirements.
  • Experience with standard machine language frameworks, e.g. PyTorch, TensorFlow.

AIML2 Qualifications:

Five (5) years experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required.

A Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university.

5 additional years of machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree.

Salary Range: **$207k-$253k (Annually)

**The range displayed above is a likely salary range for this position. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possible contractual requirements and could fall outside of this range.

Akina is a Woman Owned, Service Disabled, Veteran Owned, Small Business, looking for talented and ambitious individuals to join our team. We offer a generous compensation package that includes 24 days PTO accrued annually and 11 federal holidays. Our 401k is 100% vested on your start date and the company makes a direct contribution worth 10% of your salary. Akina covers 100% of healthcare costs for employees and 50% toward dependents. We offer educational assistance towards college classes and will cover costs associated with job related training and certifications.

Akina is committed to excellence and creating innovative and flexible solutions for our clients. We are a small company with an open ear to our employees' needs in order to attract and retain quality talent that enables our customer's mission.

We are an equal employment opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

www.akina-inc.com/careers