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Edge Ai Machine Learning Jobs in Towson, MD (NOW HIRING)

Machine Learning Tutor

Baltimore, MD ยท Remote

$18 - $40/hr

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

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Edge Ai Machine Learning information

See Towson, MD salary details

$24.4K

$40.8K

$84.3K

How much do edge ai machine learning jobs pay per year?

As of Aug 18, 2026, the average yearly pay for edge ai machine learning in Towson, MD is $40,795.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,100.00 and $44,100.00 per year, depending on experience, location, and employer.

What is an Edge AI Machine Learning?

An Edge AI Machine Learning job involves developing and deploying machine learning models directly on edge devices, such as IoT sensors, mobile devices, and embedded systems. This role requires expertise in optimizing AI models for low-power, low-latency environments while ensuring real-time processing. Professionals in this field work with frameworks like TensorFlow Lite, ONNX, and OpenVINO to implement AI solutions efficiently. They must also handle challenges like model compression, hardware acceleration, and data privacy.

What are the key skills and qualifications needed to thrive in the Edge AI Machine Learning position?

To thrive as an Edge AI Machine Learning professional, you need a strong background in machine learning algorithms, embedded systems, and proficiency with programming languages such as Python or C++. Familiarity with edge computing platforms (like NVIDIA Jetson, Google Coral), frameworks (TensorFlow Lite, ONNX), and certifications in AI or ML can greatly enhance your qualifications. Strong problem-solving abilities, collaboration, and effective communication skills are important for adapting solutions to diverse environments and working cross-functionally. These abilities enable the successful deployment of efficient and robust AI models directly on devices, meeting the unique challenges of real-time, resource-constrained settings.

What are some typical challenges faced in an Edge AI Machine Learning role, and how can I prepare for them?

One of the most common challenges in Edge AI Machine Learning is optimizing models to run efficiently on hardware with limited resources, while maintaining acceptable accuracy and speed. You may encounter constraints related to memory, processing power, and connectivity, which require creative engineering and a deep understanding of both machine learning and embedded systems. Collaborating closely with hardware engineers, data scientists, and software developers is typical, as solutions often span multiple technical disciplines. To prepare, staying current with advancements in model compression, quantization, and edge deployment technologies will help you tackle these challenges with confidence.

What are popular job titles related to Edge Ai Machine Learning jobs in Towson, MD?

For Edge Ai Machine Learning jobs in Towson, MD, the most frequently searched job titles are:

What job categories do people searching Edge Ai Machine Learning jobs in Towson, MD look for?

The top searched job categories for Edge Ai Machine Learning jobs in Towson, MD are:

What cities near Towson, MD are hiring for Edge Ai Machine Learning jobs?

Cities near Towson, MD with the most Edge Ai Machine Learning job openings:

Infographic showing various Edge Ai Machine Learning job openings in Towson, MD as of August 2026, with employment types broken down into 43% Internship, and 57% Full Time. Highlights an 100% In-person job distribution, with an average salary of $40,795 per year, or $19.6 per hour.

Senior .NET Azure AI Developer 102156 with Security Clearance

Information Technology Engineering Corporation

Woodlawn, MD โ€ข On-site

$57.25 - $71/hr

Other

Re-posted just now


Job description


Sr. .NET Azure AI Developer 
Location: Woodlawn, MD 
Required Clearance: Public Trust  Since 1999, ITEC has delivered mission-critical support to the DoD and Intelligence Community. Now part of ManpowerGroup Public Sector (MGPS), we continue that work with expanded capabilities. Employees hired through this process will join MGPS and receive a comprehensive benefits package and competitive pay.  U.S. Citizenship Mandatory: Due to our US federal government contract, candidates for this position are required to be a US Citizen and will be subject to a background investigation.  Job Description: We are seeking a talented Senior .NET Azure AI Developer to join our team. In this role, you will design, develop, and maintain scalable software solutions leveraging the Microsoft Azure platform and cutting-edge AI technologies. The ideal candidate will demonstrate deep expertise in C#, NodeJS and possess strong experience with cloud services, AI/Machine Learning concepts, and modern DevOps practices.  Job Responsibilities: * Design, develop, and maintain robust, scalable applications using .NET and ASP.NET Core. * Implement and manage solutions on the Azure platform, including deployment, monitoring, and scaling of applications. * Integrate AI capabilities using Azure AI tools such as Azure Machine Learning and Cognitive Services. * Develop and secure RESTful APIs for seamless application integration. * Practice DevOps principles, utilizing Azure DevOps for CI/CD pipelines, version control (Git), and automated testing. * Create and maintain infrastructure as code using Bicep scripts for Azure resource provisioning and management. * Collaborate with cross-functional teams to define, design, and ship new features. 
Required Skills: Programming & Development: * Deep expertise in C# and the .NET framework, including modern features. * Experience with Python or Node.js for application development, data processing, or specific AI tasks. * Experience with client-side technologies and modern front-end frameworks such as Angular or React. * Strong SQL skills, including query optimization and database design. * Experience with commercial development processes, including Agile methodologies (Scrum/Kanban), unit testing, and debugging complex systems. 
Cloud & Infrastructure: * Proficiency in Microsoft Azure services, including App Services, Azure Functions, Blob Storage, and SQL/Cosmos DB. * Hands-on experience with Bicep scripting for infrastructure as code and Azure resource management. * Strong DevOps background with Azure DevOps, CI/CD pipeline development, and automation. * Experience with Kubernetes, Terraform, or other orchestration and infrastructure tools. * Working knowledge of Docker for containerizing and deploying applications. 
AI/ML & Data: * Familiarity with core AI/Machine Learning concepts and hands-on experience using Azure Open AI APIs and tools. * Experience with both relational databases (SQL Server, PostgreSQL) and NoSQL databases (Cosmos DB).