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Computer Vision Engineer Jobs in Frederick, MD (NOW HIRING)

Leidos

AI Engineering Lead

Gaithersburg, MD · Hybrid

$110K - $145K/yr

You will lead AI engineering strategy and practices for L-CAP, integrating AI-augmented development ... Computer vision or NLP application development * Real-time inference and low-latency ML serving

Leidos

AI Engineering Lead

Gaithersburg, MD · On-site

$110K - $145K/yr

Leidos is seeking an AI Engineering Lead to join the Air Traffic Business Area within the Homeland ... Computer vision or NLP application development * Real-time inference and low-latency ML serving

Evapco

CAD Drafter/Designer

Taneytown, MD · On-site

$50K - $60K/yr

Consults with Engineers and Project Coordinators to resolve design problems. * Ensures that ... Medical, Vision, & Dental Insurance * Employee Stock Ownership Program - we are an employee-owned ...

Evapco

CAD Drafter/Designer

Taneytown, MD

$50K - $60K/yr

Consults with Engineers and Project Coordinators to resolve design problems. * Ensures that ... Medical, Vision, amp; Dental Insurance * Employee Stock Ownership Program - we are an employee ...

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All JobsComputer Vision Engineer JobsComputer Vision Engineer Jobs in Frederick, MD

Computer Vision Engineer information

See Frederick, MD salary details

$48.2K

$120.8K

$136.7K

How much do computer vision engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for computer vision engineer in Frederick, MD is $120,819.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,900.00 and $130,700.00 per year, depending on experience, location, and employer.

What is a computer vision engineer?

Computer Vision Engineers are professionals who develop algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They work on tasks like object detection, facial recognition, image segmentation, and more, often using machine learning and deep learning techniques. These engineers apply their expertise in fields like robotics, autonomous vehicles, healthcare, and augmented reality, turning raw visual data into actionable insights.

What does a computer vision engineer do?

Computer vision is a branch of artificial intelligence that attempts to replicate human analytical processes by using algorithms and computer models to understand and identify patterns in images. As a computer vision engineer, you use software to handle the processing and analysis of large data populations, and your efforts support the automation of predictive decision-making efforts. Your responsibilities involve research, programming, data analysis, and user interface design. You may work on a variety of exciting development projects like self-driving cars, mobile devices, innovative features and capabilities in sports and entertainment, and the next generation of social media enhancements.

What are the key skills and qualifications needed to thrive as a computer vision engineer, and why are they important?

To thrive as a Computer Vision Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with image processing algorithms. Familiarity with tools and frameworks such as OpenCV, TensorFlow, PyTorch, and proficiency in programming languages like Python or C++ is essential, along with knowledge of deep learning techniques. Analytical thinking, creativity, and effective communication are standout soft skills for this role. These skills and qualities are crucial for developing innovative vision solutions, interpreting complex data, and collaborating efficiently within interdisciplinary teams.

What are some common challenges faced by computer vision engineers when deploying models to production environments?

Computer Vision Engineers often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing models for efficiency on edge devices, and handling large-scale data processing. Deploying models to production requires balancing performance with resource constraints and addressing issues like latency, scalability, and data privacy. Collaborating closely with software engineers and data scientists is crucial to integrate solutions effectively and continuously monitor and improve model performance in live applications.

What is the difference between Computer Vision Engineer vs Machine Learning Engineer?

AspectComputer Vision EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of image processing and computer vision librariesBachelor's or Master's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentDevelops algorithms for image/video analysis, object detection, and recognition in tech, automotive, or healthcare industriesBuilds models for various data types, including text, images, and structured data across multiple sectors
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, e-commerce, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Engineers specialize in developing algorithms for visual data, whereas Machine Learning Engineers work on broader data modeling across various data types. The roles often overlap but differ mainly in focus and application areas.

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What cities near Frederick, MD are hiring for Computer Vision Engineer jobs?

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Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in Frederick, MD as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $120,819 per year, or $58.1 per hour.

Cybersecurity Solutions Architect/Engineer

COMPTACTICS LLC

Clarksburg, MD • Remote

$140K - $160K/yr

Full-time

Posted 5 days ago

Job description

The Fraud Analytics and Mitigation team needs 2 resources as stated below.
 
Portfolio: Cybersecurity Engineering
Job Location: Morrisville, NC; Falls Church, VA; Eagan, MN; Remote
Requested start date: ASAP after gaining positive adjudication of required background clearance
 
Title: Cybersecurity Solutions Architect/Engineer
Number of Resources: 2
PCTS Project # and Name: 138169 – ENG: Cybersecurity Analytics
 
Task description and/or any specific requirements:
Key Responsibilities: Applies expert level AI/ML analytic approaches to large volume of data from disparate sources to uncover cybersecurity threats and fraud schemes against the organization. Leverage Databricks to develop analytic solutions using Python, SQL, and R to create, interpret, visualize, and report on complex data to stakeholders at all levels. Responds to ad hoc requests from stakeholders to investigate concerns. Responsible for working across business units to identify, collect, aggregate, analyze new data sources, and advance the team’s mission and reduce the time needed to deliver analytical insights. Responsible for highlighting and analyzing gaps in USPS systems and processes, as well as recommending remediation solutions to more effectively deter cybersecurity threats and fraudulent activity.
 
Required skills:
  • Applicant must be an expert with data science and AI/ML concepts used for fraud detection. Demonstrated expertise in AI/ML solution development, data science practice, data strategy and governance, and customer and stakeholder engagement – all developed over many years of client work delivering solutions.
  • Ability to design AI-powered solutions, integrating large language models, computer vision, and advanced analytics into secure, high-performing environments
  • Ability to direct specialized teams comprising of data scientists, data engineers, and business intelligence specialists driving key AI and advanced technology solutions across secure environments.
  • Manages delivery across multiple engagements including business intelligence, technology and tradecraft, financial operations, workforce analytics, cyber, artificial intelligence, risk management, and product development to enhance organizational performance (Python, SQL, Tableau, AWS).
  • Advanced skills applying AI/ML tools to accelerate business activities including but not limited to programming and script development.
 
Expert level knowledge of:
  • AI/ML Solution Architecture
  • Data Science and Advanced Analytics
  • Technology Strategy and Implementation
  • Data Strategy and Governance
  • MLOps and Model Lifecycle Management
  • Azure Databricks
  • Python, SQL, R Development