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Aws Machine Learning Jobs in Maryland (NOW HIRING)

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How much do aws machine learning jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for aws machine learning in Maryland is $68.00, according to ZipRecruiter salary data. Most workers in this role earn between $60.43 and $79.33 per hour, depending on experience, location, and employer.

What is an AWS Machine Learning?

An AWS Machine Learning job involves designing, building, and deploying machine learning models using Amazon Web Services (AWS) cloud infrastructure. Professionals in this role work with services like Amazon SageMaker, AWS Lambda, and AWS Glue to develop AI-driven applications. They optimize models for scalability, integrate them into cloud-based systems, and ensure efficient data processing. Strong knowledge of machine learning algorithms, AWS architecture, and MLOps best practices is essential for success in this role.

What does an AWS Machine Learning do?

In an AWS Machine Learning position, you'll typically design, develop, and deploy machine learning models using AWS services like SageMaker, Glue, and Lambda. Daily tasks often include data preprocessing, building and training models, and optimizing performance for production environments. You'll collaborate closely with data engineers, software developers, and business analysts to translate business needs into technical solutions. The role may also involve monitoring deployed models, managing cloud resources, and staying updated on new AWS features to ensure efficient and scalable machine learning workflows.

What are the key skills and qualifications needed for an AWS Machine Learning?

To thrive as an AWS Machine Learning professional, you need a strong understanding of machine learning principles, proficiency in programming languages like Python, and experience with AWS cloud services such as SageMaker. AWS Certified Machine Learning certification and familiarity with data pipelines, EC2, and Lambda are commonly required. Strong problem-solving, communication, and teamwork skills help you translate business requirements into technical solutions and collaborate effectively with diverse stakeholders. These skills are essential to efficiently deploy and manage scalable machine learning models that deliver business value in cloud-based environments.

Does AWS use machine learning?

AWS offers a wide range of machine learning services and tools, such as Amazon SageMaker, which enable developers and data scientists to build, train, and deploy machine learning models. As a cloud provider, AWS integrates machine learning into its infrastructure to support various applications, making it a key platform for machine learning professionals. Knowledge of AWS services and machine learning concepts is valuable for roles like AWS Machine Learning specialists.

Is AWS Machine Learning a high paying job?

AWS Machine Learning roles are generally well-paid due to the specialized skills required, such as expertise in cloud computing, data science, and machine learning frameworks. Salaries vary based on experience, location, and certifications, but they tend to be higher than average for tech roles with similar responsibilities.

What are the most commonly searched types of Aws Machine Learning jobs in Maryland?

The most popular types of Aws Machine Learning jobs in Maryland are:

What are popular job titles related to Aws Machine Learning jobs in Maryland?

For Aws Machine Learning jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Aws Machine Learning jobs in Maryland look for?

The top searched job categories for Aws Machine Learning jobs in Maryland are:

What cities in Maryland are hiring for Aws Machine Learning jobs?

Cities in Maryland with the most Aws Machine Learning job openings:

Aws Machine Learning jobs near you
Infographic showing various Aws Machine Learning job openings in Maryland as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $141,432 per year, or $68 per hour.

AI/Machine Learning Engineer

Optimus Technology, Inc.

Fort George G Meade, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

Job description

Intelligence Analysts rely on multi-step workflows that are time sensitive, detail rich, and critical to national security. As an AI/Machine Learning Engineer, you will work directly with mission users to capture these workflows, document operational decision points, and translate them into effective AI enabled capabilities.
You will design and implement solutions that may include LLM powered workflows, agent based automation, or hybrid approaches depending on mission needs. Your work will streamline analytical tasks, improve data accessibility, and support rapid, informed decision making in high tempo enviornments.
You'll collaborate with operators, analysts, developers, and mission leadership to ensure solutions integrate cleanly with existing systems, perform reliably in production, and adhere to security and governance expectations of classified enviornments.
Required Skills:
-Experience capturing user workflows and translating them into structured process maps, automation requirements, or executable logic.
-Experience designing or implementing LLM based on agentic workflows, including multi-step reasoning, tool integrations, and orchestration.
-Experience integrating AI systems with APIs, enterprise data stores, or mission platforms.
-Experience with programming languages such as Python.
Desired Skills:
-Experience engineering AI capabilities on premise or multi classification enviornments.
-Experience with AWS or Azure, including work in restricted or classified environments.
-Experience with AI/LLM development framework such as LangChain, LangGraph, PydanticAI, or CrewAI
-Experience with ML frameworks such as PyTorch, TensorFlow, vLLM, or llama.cpp.
-Experience with cyber or intelligence workflows, operational data types, or mission oriented analytical processes.
Optimus Technology is a SDVO (Service-Disabled Veteran-Owned) small business founded in 2010. We are known for our exceptionally talented group of Engineers and Technical experts with superior knowledge and experience in Cyber Technologies and the latest technology trends. Our dedication in pairing the right Optimus Technologist with the right customer solution is at the core of our Partnership commitment and critical to the performance and satisfaction of our employees, the pinnacle of the Optimus culture.
Why us?
We strive to provide the best well-rounded benefits package available.
  • Premium health, dental, and vision package
  • Company funded HRA
  • 401k company contributions
  • Employer paid group term life insurance policy
  • Tuition assistance and career development
  • Short-term and long-term disability
  • Paid time off
  • Referral bonuses
  • Company outings, giveaways & more

Optimus practices a policy of non-discrimination and is fully committed to the principles of equality in employment and opportunity for all employees. Employment decisions are made without regard to age, gender, race, religion, marital status, national origin, sexual orientation, or any other non-merit based factor.

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