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Remote Vision Plus Developer Jobs in Ohio (NOW HIRING)

Concept Plus

Mid-Level Developer

Dayton, OH · On-site +1

About Concept Plus Concept Plus is a mission-focused technology solutions provider that transforms ... We offer competitive pay, comprehensive health, dental, and vision insurance, paid life insurance ...

Statheros

D. is a plus. * Experience : * 4+ years of professional experience in machine learning, with a ... Remote work location. * Competitive salary. * Flexible work schedule. * Opportunities for ...

Concept Plus

Test Engineer

Dayton, OH · On-site +1

About Concept Plus Concept Plus is a mission-focused technology solutions provider that transforms ... We offer competitive pay, comprehensive health, dental, and vision insurance, paid life insurance ...

Kemper

Guidewire Developer-ClaimCenter

Cleveland, OH · On-site +1

$52.75 - $69.75/hr

... TX, Remote-CT, Remote-GA, Remote-IL, Remote-IN, Remote-OH, Remote-PA, Remote-TX, Remote-VA ... This job is eligible for an annual discretionary bonus and Kemper benefits (Medical, Dental, Vision ...

Kemper

Guidewire Developer-ClaimCenter

Columbus, OH · On-site +1

$52.75 - $69.50/hr

... TX, Remote-CT, Remote-GA, Remote-IL, Remote-IN, Remote-OH, Remote-PA, Remote-TX, Remote-VA ... This job is eligible for an annual discretionary bonus and Kemper benefits (Medical, Dental, Vision ...

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Remote Vision Plus Developer information

What is a Remote Vision Plus developer?

Remote Vision Plus Developers are IT professionals who specialize in developing, maintaining, and supporting applications using the VisionPLUS software platform, a widely used credit card and payment processing system. They work remotely, collaborating with teams or clients from different locations to customize VisionPLUS modules, integrate new features, and troubleshoot issues. Their responsibilities often include coding, testing, debugging, and ensuring compliance with industry standards and security requirements. These developers typically have experience in COBOL, JCL, CICS, and other mainframe technologies. Working remotely allows them to support global clients and adapt to various business needs.

What are some common challenges faced by Remote Vision Plus developers when collaborating with global teams?

Remote Vision Plus Developers often collaborate with geographically dispersed teams, which can introduce challenges such as coordinating across different time zones, ensuring clear communication, and maintaining consistent code quality. Effective use of collaboration tools, regular virtual meetings, and thorough documentation help address these issues. Additionally, developers must stay updated on Vision Plus system updates and industry best practices to deliver seamless integration and support to clients worldwide.

What are the key skills and qualifications needed to thrive as a Remote Vision Plus developer, and why are they important?

To thrive as a Remote Vision Plus Developer, you need expertise in COBOL, JCL, Vision Plus modules (CMS, FAS, TRAMS, etc.), and a solid understanding of payment card processing systems, typically backed by a degree in computer science or related field. Familiarity with Vision Plus tools, mainframe environments like IBM z/OS, and experience with SDLC methodologies are essential, with certifications in relevant technologies considered a plus. Strong problem-solving abilities, attention to detail, and effective communication skills are vital for collaborating remotely and resolving complex technical issues. These skills and qualities are crucial for ensuring the reliable development, maintenance, and support of critical financial transaction systems in a distributed work environment.

What are popular job titles related to Remote Vision Plus Developer jobs in Ohio?

For Remote Vision Plus Developer jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Remote Vision Plus Developer jobs in Ohio look for?

The top searched job categories for Remote Vision Plus Developer jobs in Ohio are:

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Remote Vision Plus Developer jobs near you

Computer Vision Software Engineer, Lead

Booz Allen Hamilton, Inc.

Dayton, OH • On-site, Remote

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 28 days ago

Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

11th of 72 rated business consultants

Job description


Remote Work:
No
Job Number:
R0245705
Location:
Dayton,OH,US
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Computer Vision Software Engineer, Lead
The Opportunity:
As a Senior Computer Vision Engineer, you will design, develop, and optimize advanced computer vision and multi-sensor fusion algorithms supporting GEOINT-mission workflows. You will lead the development of deep learning models, real-time tracking systems, and GPU-accelerated pipelines deployed in operational environments. You will shape next-generation tools that integrate imaging physics, ML-based behavior inference, and multi-sensor fusion.
You'll join a collaborative technical delivery team where you'll contribute to secure, reliable, and user-centric tools that accelerate mission outcomes.
What You'll Work On:
  • Develop and implement deep learning computer vision models, with a focus on sensor fusion and target tracking.
  • Collaborate with multidisciplinary teams to design, develop, test, and deploy technical solutions in Python or C++.
  • Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision applications.
  • Contribute to the architecture and implementation of novel single and multi-sensor detection and tracking and fusion of targets.

Join us. The world can't wait.
You Have:
  • 6+ years of experience developing computer vision algorithms for detection, tracking, or multi-sensor fusion in remote sensing or GEOINT environments
  • 2+ years of experience applying deep learning to computer vision problems using transformer-based or self-supervised architectures
  • Experience implementing model pipelines in Python or C++, including training, evaluation, and deployment workflows
  • Experience with administration of continuous integration or continuous deployment (CI/CD) pipelines using Kubernetes, Docker, or Jenkins
  • Experience with Agile methodology, extreme programming, software engineering, product management, and software products, and acquiring client requirements and resolving workflow problems through automation optimization
  • Knowledge of GPU-accelerated development using CUDA, RAPIDS, or GPU programming frameworks
  • Knowledge of classical tracking or estimation methods such as Kalman or extended filters, to support real-time algorithm development
  • Ability to design, test, and optimize algorithms for operational performance in constrained computing environments such as multi-GPU servers or cloud
  • Active TS/SCI clearance; willingness to take a polygraph exam
  • Bachelor's degree in a STEM field

Nice If You Have:
  • Experience with GPU-accelerated deep learning, including CUDA kernel development, TensorRT optimization, RAPIDS, or distributed multi-GPU training
  • Experience developing synthetic data, kinematic target models, or scenario simulation tools to support algorithm training or evaluation
  • Experience with advanced estimation, tracking, and fusion techniques such as joint multi-sensor registration, Bayesian fusion, particle filters, or deep multi-object tracking pipelines
  • Experience with MLOps or scalable deployment systems, including Docker, Kubernetes, ONNX Runtime, or Triton Inference Server
  • Experience building or optimizing microservice architectures or distributed systems for real-time data processing
  • Experience integrating CV models into edge, embedded, or latency-constrained operational environments
  • Experience with transformer-based vision architectures beyond DINO, CLIP, or SAM such as ViT variants or self-supervised multi-modal encoders
  • Experience with cloud ML platforms such as AWS GovCloud, Azure ML, or on-premises GPU clusters
  • Knowledge of geospatial data formats, sensor phenomenology, or remote-sensing exploitation workflows
  • Master's degree in CS, Electrical Engineering, Computer Engineering, AI/ML, Physics, or Mathematics preferred; Doctorate degree in CS, Electrical Engineering, Computer Engineering, AI/ML, Physics, or Mathematics a plus

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $112,800.00 to $257,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914

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