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Senior Computer Vision Engineer Jobs in Dover, FL

Senior Civil/Structural Engineer

Tampa, FL · On-site

$95K - $129K/yr

PegasusTSI offers a comprehensive benefits package that includes medical, dental, vision, short and ... review CAD drawingsSupervise, interact, and mentor with engineers, designers, and CAD drafters ...

They are seeking an ML Ops Engineer to design, build, and maintain the infrastructure and pipelines ... computer vision and/or large imagery formats such as NITF • Publications or GitHub repos ...

Senior Civil/Structural Engineer

Tampa, FL · Hybrid

$95K - $129K/yr

PegasusTSI offers a comprehensive benefits package that includes medical, dental, vision, short and ... Thoroughly review CAD drawings * Supervise, interact, and mentor with engineers, designers, and CAD ...

Senior Civil/Structural Engineer

Tampa, FL · On-site

$95K - $129K/yr

PegasusTSI offers a comprehensive benefits package that includes medical, dental, vision, short and ... Thoroughly review CAD drawings * Supervise, interact, and mentor with engineers, designers, and CAD ...

Sr. Analytics Engineer

Tampa, FL · On-site

$98K - $135K/yr

Requirements of the Sr. Analytics Engineer ... Bachelor's degree in Information Systems, Computer Science, Business Analytics, Finance ...

Senior Drainage Engineer

Tampa, FL · On-site

$98K - $135K/yr

Medical, Dental, Vision, LTD & STD, Life Insurance, 401k with match, PTO, Holidays, HSA with ... Hand-eye coordination is necessary to operate a computer, keyboard and mouse. Use of a telephone ...

... AI, computer vision, or NLP domains. * Strong foundation in statistics, mathematics, and programming, including probability, mathematical modeling, and experimental design with the ability to ...

... AI, computer vision, or NLP domains. * Strong foundation in statistics, mathematics, and programming, including probability, mathematical modeling, and experimental design with the ability to ...

Data Scientist Lead

Tampa, FL · On-site

$140 - $200/hr

... AI, computer vision, or NLP domains. * Strong foundation in statistics, mathematics, and programming, including probability, mathematical modeling, and experimental design with the ability to ...

... AI, computer vision, or NLP domains. * Strong foundation in statistics, mathematics, and programming, including probability, mathematical modeling, and experimental design with the ability to ...

... AI, computer vision, or NLP domains. * Strong foundation in statistics, mathematics, and programming, including probability, mathematical modeling, and experimental design with the ability to ...

... AI, computer vision, or NLP domains. * Strong foundation in statistics, mathematics, and programming, including probability, mathematical modeling, and experimental design with the ability to ...

Sr. Analytics Engineer

Tampa, FL · On-site

$98K - $135K/yr

Bachelor's degree in Information Systems, Computer Science, Business Analytics, Finance ... Benefits offered for this position include Health, Dental, Vision, Matching 401K, Paid Time Off, 9 ...

Sr. Analytics Engineer

Tampa, FL · On-site

$98K - $135K/yr

Bachelor's degree in Information Systems, Computer Science, Business Analytics, Finance ... Benefits offered for this position include Health, Dental, Vision, Matching 401K, Paid Time Off, 9 ...

Showing results 41-60

Senior Computer Vision Engineer information

See Dover, FL salary details

$51.5K

$109.5K

$158.7K

How much do senior computer vision engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for senior computer vision engineer in Dover, FL is $109,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,400.00 and $124,100.00 per year, depending on experience, location, and employer.

What is a senior computer vision engineer?

Senior Computer Vision Engineers are experienced professionals who design, develop, and optimize computer vision algorithms and systems. They typically work on advanced projects involving image and video analysis, object detection, facial recognition, and related technologies. These engineers often lead teams, set technical direction, and collaborate with other departments to integrate computer vision solutions into products or services. Their role requires strong expertise in programming, machine learning, and mathematics, as well as staying current with the latest research in the field.

What are the key skills and qualifications needed to thrive as a senior computer vision engineer?

To thrive as a Senior Computer Vision Engineer, you need a deep understanding of computer vision algorithms, strong programming skills (especially in Python or C++), and a background in mathematics or related fields, often supported by a master's or PhD. Proficiency with machine learning frameworks (such as TensorFlow, PyTorch, or OpenCV), and experience with version control systems are typically required. Exceptional problem-solving abilities, effective communication, and leadership skills help in collaborating with teams and driving innovation. These skills ensure the development of robust vision solutions, efficient project execution, and alignment with organizational goals.

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

One common challenge for Senior Computer Vision Engineers is ensuring that models perform reliably in real-world conditions, which often differ significantly from controlled training datasets. Handling variations in lighting, angles, and image quality can impact model accuracy, requiring ongoing data collection and retraining. Additionally, optimizing models for efficiency and latency is crucial when deploying to edge devices or cloud platforms, and collaboration with DevOps and software engineering teams is essential to integrate solutions seamlessly into production pipelines.

What is the difference between Senior Computer Vision Engineer vs Computer Vision Engineer?

AspectSenior Computer Vision EngineerComputer Vision Engineer
Required CredentialsBachelor's/Master's/PhD in CS, Electrical Engineering, or related field; experience in computer visionBachelor's or higher in relevant field; similar experience levels
Work EnvironmentAdvanced projects, mentorship roles, leadership responsibilitiesDevelopment and implementation of computer vision algorithms, research, and prototyping
Employer & Industry UsageTech companies, automotive, robotics, healthcareStartups, research labs, tech firms, manufacturing

The main difference between a Senior Computer Vision Engineer and a Computer Vision Engineer lies in experience and responsibilities. Senior roles typically involve leadership, mentorship, and complex project management, while standard roles focus on developing and implementing algorithms. Both positions require similar educational backgrounds and industry experience, but senior engineers often handle more strategic tasks and oversee projects.

What cities near Dover, FL are hiring for Senior Computer Vision Engineer jobs?

Cities near Dover, FL with the most Senior Computer Vision Engineer job openings:

Manufacturing Engineer - Automation & Digitalization

Siemens Energy, Inc.

Gibsonton, FL

Full-time

Medical, Retirement, PTO

Re-posted 12 days ago


Siemens Energy rating

8.3

Company rating: 8.3 out of 10

Based on 88 frontline employees who took The Breakroom Quiz

115th of 491 rated machine equipment manufacturers


Job description

A Snapshot of Your Day
As a Manufacturing Engineer - Automation & Digitalization at Siemens Energy, you'll support the BVT (Blades & Vanes) Expansion project within the Operations Tampa manufacturing facility. The primary business objective is to leverage advanced automation and artificial intelligence to enhance operational efficiency, increase productivity, and support the growth of the manufacturing capabilities. To achieve these goals, this role will concentrate on three core areas: the development and deployment of AI and machine learning solutions tailored for manufacturing processes, the design and implementation of robust automation workflows, and the management of the underlying data infrastructure required to support these systems. This focus ensures that digitalization efforts are directly applied to tangible operational improvements, from quality control to predictive maintenance. Given the focus on applying advanced technology in an industrial setting, the ideal candidate will possess significant experience in AI/ML engineering combined with a strong understanding of manufacturing environments. Key requirements include advanced proficiency in programming and data management, experience with ML frameworks, and a proven ability to independently manage complex technical projects from conception to integration.
How You'll Make an Impact
  • Design, develop, and deploy machine learning models for manufacturing applications, including predictive maintenance, process optimization, and quality control.
  • Apply computer vision techniques to automate visual inspection tasks and enhance defect detection accuracy on the production line.
  • Train, validate, and optimize AI models using data sourced from manufacturing equipment and operational systems.
  • Research and implement advanced AI/ML methodologies, such as deep learning and generative AI, to address complex manufacturing challenges.
  • Analyze existing manufacturing workflows to identify and prioritize opportunities for digitalization and automation.
  • Develop and implement automation scripts and solutions to streamline repetitive tasks and improve operational throughput.
  • Integrate AI/ML models and digital tools into production systems, MES platforms, and equipment using APIs and other integration technologies.
  • Manage automation project lifecycles from requirements gathering through deployment and post‑implementation support.
  • Build and maintain scalable data pipelines for collecting, cleaning, and processing high‑volume industrial data.
  • Implement MLOps practices to establish CI/CD pipelines for machine learning models, ensuring reliable deployment and monitoring.
  • Ensure data governance, quality, and integrity for all datasets used in AI training and operational analytics.
  • Collaborate with IT and OT teams to manage both cloud and on‑premise infrastructure supporting AI development and deployment.
What You Bring
  • Bachelor's degree or higher in Computer Science, Engineering, Data Science, or a related technical field.
  • 5+ years of professional experience in developing and implementing AI, machine learning, or automation solutions.
  • Demonstrated experience applying AI/ML in an industrial, manufacturing, or operational technology (OT) environment is highly preferred.
  • Proficiency in machine learning, deep learning, computer vision, and familiarity with emerging generative AI approaches.
  • Strong technical capabilities in Python, SQL, automation, software engineering concepts, and integrating applications through APIs.
  • Demonstrated analytical, troubleshooting, and collaborative skills to support complex technical problem‑solving in cross-functional environments.
  • Candidates with more experience can be considered for a higher level or vice versa.
  • Applicants must be legally authorized for employment in the United States without the need for current or future employer-sponsored work authorization. Siemens Energy employees with current visa sponsorship may be eligible for internal transfers.
  • This position will require an export license from the Department of Commerce, Bureau of Industry and Security and/or the Department of State, Directorate of Defense Trade Controls. Issuance of any required license is a prerequisite for this position. The candidate must be able to work with export-controlled technology in accordance with US export control law.
About the Team
Our Gas Services division offers Low-emission power generation through service and decarbonization. Zero or low emission power generation and all gas turbines under one roof, steam turbines and generators. Decarbonization opportunities through service offerings, modernization, and digitalization of the fleet.
Who is Siemens Energy?
At Siemens Energy, we are more than just an energy technology company. With ~100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation. Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation. Find out how you can make a difference at Siemens Energy: https://www.siemens-energy.com/employeevideo
Rewards
  • Career growth and development opportunities
  • Supportive work culture
  • Company paid Health and wellness benefits
  • Paid Time Off and paid holidays
  • 401K savings plan with company match
  • Family building benefits
  • Parental leave
Jobs & Careers: https://jobs.siemens-energy.com/jobs
Equal Employment Opportunity Statement
Siemens Energy and Siemens Gamesa Renewable Energy is an Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.
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