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Temporary Computer Vision Deep Learning Engineer Jobs in Rockledge, FL

Bachelor's or Master's degree in Computer Science, Engineering, Geomatics, Physics, or a related ... Familiarity with 3D geometry, spatial analysis, and computer vision techniques. * Ability to ...

Create digital patterns, templates, and/or temporary tooling to aid new hull development. Skills ... Ability to focus on continuous improvement and learning. * Maintain a positive work atmosphere and ...

Create digital patterns, templates, and/or temporary tooling to aid new hull development. Skills ... Ability to focus on continuous improvement and learning. * Maintain a positive work atmosphere and ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of programming fundamentals including variables, data types, control structures ...

Deep knowledge of data structures, algorithms, object-oriented programming, computer architecture ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

... Computer Science, Computer Engineering, Electrical Engineering, Systems Engineering, or related ... learning, NLP, or deep learning GitOps/DevSecOps concepts and toolchains; CI/CD authoring ...

Deep knowledge of Java programming including primitive types, objects, boolean expressions ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

You willimpactthese systems by providing high quality engineering support by developing software ... Experience with vision-aided navigation, computer vision, or sensor fusion algorithms * Experience ...

Applications Engineer

Melbourne, FL · On-site

$75K - $100K/yr

This role demands a unique blend of technical proficiency, problem-solving skills, and a deep ... Bachelor's degree in Computer Science, Software Engineering, or a related field * Solid ...

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Temporary Computer Vision Deep Learning Engineer information

See Rockledge, FL salary details

$42.3K

$106K

$119.9K

How much do temporary computer vision deep learning engineer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for temporary computer vision deep learning engineer in Rockledge, FL is $105,987.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,300.00 and $114,700.00 per year, depending on experience, location, and employer.

What is the difference between Temporary Computer Vision Deep Learning Engineer vs Computer Vision Engineer?

AspectTemporary Computer Vision Deep Learning EngineerComputer Vision Engineer
CredentialsBachelor's or Master's in CS, AI, or related; experience with deep learning frameworksBachelor's or Master's in CS, AI, or related; experience with computer vision tools
Work EnvironmentProject-based, short-term contracts, often in tech or research firmsFull-time, ongoing roles in tech companies, startups, or research labs
Industry UsageCommon in consulting, research projects, or temporary assignmentsStandard role in product development, AI solutions, and software engineering

The main difference is that a Temporary Computer Vision Deep Learning Engineer works on short-term projects focusing on deep learning techniques for computer vision, while a Computer Vision Engineer typically holds a permanent position involved in ongoing development of computer vision applications. The temporary role emphasizes flexibility and project-specific skills, whereas the full-time role involves continuous integration into a company's long-term projects.

Infographic showing various Temporary Computer Vision Deep Learning Engineer job openings in Rockledge, FL as of July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, 2% Contract, and 1% Nights. Highlights an 81% Physical, 1% Hybrid, and 18% Remote job distribution, with an average salary of $105,987 per year, or $51 per hour.
Senior Computer Scientist (AI/ML)

Senior Computer Scientist (AI/ML)

Kegman Inc

Melbourne, FL • On-site

Full-time

Re-posted 5 days ago


Job description

Kegman Inc. is a Women Owned/Service-Disabled Veteran-Owned Small Business headquartered in Melbourne, FL and provides engineering and technical support services to U.S. Government clients. We are seeking a Senior Computer Scientist (AI/ML) to join the team supporting the Air Force Technical Applications Center at Patrick Space Force Base in Melbourne, Florida.
NOTE: This is not a remote/telework job. This job requires the selected applicant to have an active U.S. Government-issued security clearance at time of hire and, therefore, requires U.S. citizenship.
Kegman is seeking a skilled the Senior Computer Scientist will lead the architecture, development, and testing of state-of-the-art Artificial Intelligence/Machine Learning (AI/ML) methodologies supporting the U.S. Government customer's mission. Specifically, the contractor will direct efforts to design and deploy an advanced suite of deep learning algorithms for processing regional geophysical sensor data, including seismic, acoustic, hydro-acoustic, and infrasound sensors.
Responsibilities
  • Lead Advisory and Assistance services for the architectural design and development of generalized phase picker and generalized regional associator algorithms.
  • Architect, develop, configure, and evaluate advanced Python code for the detection of regional signal arrivals using deep neural network architectures and AIML Python libraries (PyTorch, Sklearn, Tensorflow/keras..etc)
  • Building automated training pipelines, monitoring for model drift, and implementing retraining strategies
  • Serve as the primary technical advisor to executive and senior clients, briefing them on strategic development efforts, emerging technologies, system architecture, risk mitigation, and mission opportunities.
  • Mentor and provide technical direction to junior and mid-level engineers in AI/ML best practices and geophysical data processing.
Basic Qualifications
  • Familiarity with Git version control software is required
  • Proficient in signal processing of advanced waveforms to include seismic, acoustic, electromagnetic, or similar signals.
  • Expert proficiency with the Python programming language, Anaconda environments, and Jupyter notebooks in a production environment.
  • Subject matter expertise in general acoustic theory, particularly regarding local to near-regional seismic phase arrivals, travel times, and association.
  • Mastery of deep neural network architectures for complex time-series data processing.
  • Extensive experience with traditional geophysical signal detection algorithms and the ability to integrate them with modern AI/ML approaches.
  • Demonstrated capability to architect solutions leveraging programming, advanced mathematics, data analysis, and data visualization toolkits to drive customer success.
  • Proven ability to design and execute advanced statistical analysis on massive, complex datasets.
  • Exceptional analytical, problem-solving, organizational, and written/oral communication skills.
  • Detail-oriented technical leader capable of directing teams, consistently meeting mission-critical deadlines, and driving projects independently with high autonomy.
  • Advanced interpersonal, customer engagement, and technical negotiation skills.
  • Demonstrated ability to manage multi-faceted projects and collaborate effectively with a diverse matrix of vendors, executive managers, subcontractors, consultants, and other professionals.
  • Highly effective communication skills with company executives, employees, and government stakeholders; must command a room and present complex technical concepts clearly and confidently to both technical and non-technical audiences.
  • Familiarity with agile/scrum techniques.
Education
  • Bachelor's Degree and 8+ years of relevant experience; OR
  • Master's Degree and 6+ years of relevant experience; OR
  • Ph.D. and 3+ years of relevant experience.
Other:
  • U.S. citizenship required.
  • Must have a fully adjudicated (not an interim) Government clearance.
  • Must pass a drug test.

Kegman Inc. is an equal 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.
Kegman will abide by the requirements of 41 CFR 60741.5(a). This regulation prohibits discrimination against qualified individuals on the basis of disability and requires affirmative action by covered prime contractors and subcontractors to employ and advance in employment qualified individuals with disabilities.
Please be aware many of our positions require an active security clearance. Security clearances are be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment that requires a security clearance will be subject to government security investigation(s) and must meet and maintain eligibility requirements for access to classified information.
By submitting your résumé for this position, you understand and agree that Kegman may share your résumé, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions.
Kegman maintains a drug-free workplace and performs pre-employment substance abuse testing where permitted by law.